SC20 Is Everywhere We Are

SC20 Virtual Platform

Days Held

Tuesday, September 15, 2020–Friday, January 15, 2021

View Job Listings

Open to All SC Attendees

SC20 is helping conference attendees connect with potential employers.

Available now and running through January 15, 2021, SC is inviting attendees of all skill levels (students, post-docs, and professionals) to participate in the Job Fair. As applications and résumés submitted will be provided to recruiting organizations, submit your résumé today and help recruiting organizations find you. Employers will be posting their job listings through January. Search the job postings by skill level, area of interest, and more.

Résumé Workshops

SC20 will be providing two virtual résumé workshops during the conference. During these sessions, industry and academic leaders are being asked to provide one-on-one feedback on résumés. These sessions will be held right after the “Perfecting Your Elevator Speech and Growing Your Professional Network” workshop.

  • Résumé Workshop 1: Thursday, November 12, 12:30 pm ET
  • Résumé Workshop 2: Thursday, November 12, 9:30 pm ET

To participate in the Résumé Workshops, you must:

Submit Your Résumé Now

Students & Post-Docs

Fill out this application and
upload your résumé.

Students & Post-Docs

Professionals

Fill out this application and
upload your résumé.

Professionals

Sample Applications

Resources

Many websites offer free advice on creating résumés. Below are three resources that may be useful:

Recruit at the Job Fair

The Job Fair offers an excellent opportunity for recruiting top talent.

For recruiting organizations



Job Fair Schedule

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9am-8pm
538610BR - Linux/UNIX System Admin College Hire 2021
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Lockheed Martin, Space
·
Herndon, VA
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionLooking for a career with purpose? One that challenges your mind, grows your skills and contributes to our Nation’s most critical missions? Do you pride yourself on solving problems that others think are impossible? If you answered yes to these questions, then we would like you to join Lockheed Martin's Space Mission Solutions, Engineering Team! Mission Solutions develops, delivers, and operates affordable engineering and sustainment solutions for commercial, military and intelligence users across the globe. These mission critical efforts include development of innovative enterprise, cloud and application-based solutions for mission management, command and control, collection orchestration and tasking, processing, data analysis and analytics along with premier operations and sustainment capabilities of space- based programs in support of national security.

Establishes functional and technical specifications and standards, solves hardware/software interface problems, defines input/output parameters, and ensures integration of the entire system or subsystem. Reviews, evaluates and derives requirements for testability, develops and directs preparation and execution of comprehensive test plans, procedures and schedules for complete systems and/or subsystems. Coordinates subsystem and/or system testing activities with programs and other organizations. Performs analysis of test results and prepares comprehensive subsystem and/or system level evaluation reports which verify and validate system performance at the CI level. Writes discrepancy reports and performs integration regression testing to verify/validate incorporated fixes to software, components, subsystems and systems.

Work Location will be in the Springfield / Herndon area in Virginia
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ability to obtain a TS/SCI Clearance required for this role.

Basic Qualifications:
This position is for a full-time college entry level spring/summer 2021 start date.
- In order to provide ample time for the current government security process, we are excited to offer spring/summer 2021 full-time positions!
- Acceptable degree programs will include only science and technology related programs such as Computer Science, Computer Engineering, Electrical Engineering, Physics ,Mathematics, or related disciplines, etc.
- Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information, including US Citizenship.
- Work Location will be in the Springfield / Herndon area in Virginia. Experience with in shell scripting with languages such as Python, or Perl, or Korn, or Bourne/Bash.
- Experience with Linux/Unix operating systems; building and hardening
- Familiarization with revision control software (e.g. CVS, SVN, Git).
- Familiarization with a variety of build/install tools (e.g. CMake, Makefile, autoconf).
- Ability to analyze, debug and maintain the integrity of an existing code base.

Desired skills :
- SE Linux experience: configuration and policy.
- Experience with applying patches and building custom kernels as required to implement functionality or address security concerns.
- Solid understanding of the software development process including requirements, use cases, design, coding, documentation and testing of scalable, distributed applications in a Linux environment.
- Excellent communication and people skills.
- Excellent time management and organizational skills.
- Strong attention to detail.
- Good organization skills to balance and prioritize work, and ability to multitask
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2020-09-15
538567BR - HPC Software Engineer College Hire 2021
·
Lockheed Martin
·
Herndon & Springfield, VA
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionAt the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you.
Looking for a career with purpose? One that challenges your mind, grows your skills and contributes to our Nation’s most critical missions? Do you pride yourself on solving problems that others think are impossible? If you answered yes to these questions, then we would like you to join Lockheed Martin's Space Mission Solutions & Operations Engineering Team.
Mission Solutions develops, delivers, and operates affordable engineering and sustainment solutions for commercial, military and intelligence users across the globe. These mission critical efforts include development of creative enterprise, cloud and application-based solutions for mission management, command and control, collection orchestration and tasking, processing, data analysis and analytics along with premier operations and sustainment capabilities of space- based programs in support of national security.
What does this role look like?
This position is for a new college graduate in summer of 2021.
In order to be successful in this role, you will have training (working toward a BS) in a science or technology related discipline and experience in at least one of these skill or computer language areas: C, C++, C#, Java, XML, Windows, .NET, and LINUX/UNIX, FORTRAN system software and scripting development, Java programming, web development, System analysis, System design, Software Design, Software Development and Implementation, Software Test.

You must be a US citizen and if selected, you will be subject to a government security investigation. Ability to obtain a security clearance required for this role

Basic Qualifications :
This position is for a full-time college entry level spring/summer 2020 start date.
In order to provide ample time for the current government security process, we are excited to offer spring/summer 2021 full-time positions!
Acceptable degree programs will include only science and technology related programs such as Computer Science, Computer Engineering, Electrical Engineering, Physics ,Mathematics, or related disciplines, etc.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information, including US Citizenship.
Work Location will be in the Springfield / Herndon area in Virginia.

Desired skills :
Education driving toward Bachelors in computational mathematics or Physics.
Proficiency with one or more of the following software languages: Fortran, C, Python, Matlab, Compilers, etc
Familiarity with High Performance Computing
Candidate will have knowledge of basic software practices such as coding standards, unit testing and configuration management. Good communication skills. Strong team player. Candidate will work in a team environment utilizing software methodologies and processes. Familiarity with Agile Development Process a plus. Strong communication skills a results oriented team player, creative thinker and problem-solver and follow all ethical standards of the Lockheed Martin Corporation
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·
2020-09-14
HPC Engineer
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Oak Ridge National Laboratory
·
Oak Ridge, TN
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Organization

The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is responsible for providing computational resources at extreme scales for science. NCCS is home to some of the fastest supercomputers and storage systems in the world, e.g., the 27 petaflops Titan system, the 200 petaflops Summit system, the 250 petabytes GPFS-based Alpine parallel file system, and the disk/tape HPSS archival storage system. NCCS serves multiple agencies including DOE, NOAA, and the Air Force. This team also supports the Compute and Data Environment for Science (CADES), which is a big-data facility within NCCS for ORNL staff and their collaborators.

The Team

The NCCS User Assistance and Outreach (UAO) Group provides Level I and Level II high performance computing (HPC) technical support to research teams, generates documentation about NCCS systems, and develops and delivers training to users of these systems. NCCS staff members are also responsible for developing tools and technical solutions for users of these systems. NCCS User Assistant specialists also serve as ambassadors for users of these systems and the rest of the organization.

Major Duties/Responsibilities:

The role comprises the following primary functions:

Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high performance computing systems and clusters.
Compile and debug large science and engineering applications.
Identify and resolve system-level bugs in conjunction with other technical staff.
Work with vendors to resolve issues and implement changes as necessary.
Install third-party software applications and tools and provide documentation for usage.
Develop and execute system tests to ensure newly deployed systems can support user workloads.
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. HPC User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation.
Participate in the development, maintenance, and delivery of training and outreach materials to users.
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation, etc)
Implement special projects as requested (e.g., metrics, cyber security, policy discussions).
Basic Qualifications:

A Bachelor’s degree in computer science or related field and 2+ years of relevant experience.
1+ years of experience providing user support
Requires practical experience with multiple programming languages and technologies including several of the following:
Fortran
C
C++
Perl
Python
Shell scripting (e.g., bash, ksh, etc.) in a Linux or Unix environment
Preferred Qualifications:

Experience building and installing scientific software and other 3rd party software applications on HPC systems
Experience with HPC schedulers and resource managers
Experience executing scientific software on HPC systems
Experience writing user documentation
Experience developing and delivering training for users
Strong technical and analytical skills
Strong verbal and written communication skills
Maintains the highest level of professionalism at all times when interacting with internal and external customers
Demonstrates a high-energy, positive attitude and commitment to quality customer service
Contributes to a positive team environment within the center by demonstrating a strong work ethic, effectively communicating with others, and proactively anticipating center and user needs
Experience coordinating and running support teams
Understanding of the requirements of a DOE, DoD, and/or NSF HPC center


Special Requirement:

This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.



Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.





ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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2020-10-08
Post Doctoral Research Associate
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University of Tennessee ICL
·
Knoxville
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe University of Tennessee, Knoxville’s Innovative Computing Laboratory (ICL) is seeking full-time Post Doctoral researchers in several areas of high-performance computing (HPC), including: (1) Distributed Computing; (2) Performance Measurement and Modeling; and (3) Numerical Linear Algebra. ICL is directed by Jack Dongarra, Distinguished Professor of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.

Prospective researchers will work in a team-based, deadline-driven environment with the opportunity to: (1) participate in the design, development, and maintenance of software libraries and programming environments for large, distributed-memory hybrid machines; (2) extend and harden the performance monitoring capabilities of ICL’s software for new and advanced hardware and software technologies; or (3) develop and maintain numerical software libraries for solving linear algebra problems on hybrid machines with multi-core processors and hardware accelerators.

The prospective researcher will co-author papers to document research findings, present the team’s work at conferences and workshops, and help lead students and other team members in the lab’s multiple research and development efforts, which are supported by the U.S. Department of Energy’s Exascale Computing Project and the National Science Foundation.

Education Requirements:
PhD in Computer Science, a computational science, or related field with demonstrable background in: applied mathematics; HPC; computer architectures and parallel processing; or distributed, multi-core, and GPU computing.

Experience Required:
A successful candidate will have a background in one or more of the following areas:
(1) Distributed Computing – some background in HPC, resilience, programming models, and network and parallel algorithms.
(2) Performance Measurement and Modeling – technical experience in system software, parallel computing, scientific applications, and low-level libraries; prior experience and expertise with systems programming, benchmarking, performance analysis toolkits, C, C++, and Fortran are also desired; significant experience developing large software systems is a plus.
(3) Numerical Linear Algebra – background in applied mathematics; technical experience in parallel computing, distributed computing, and multithreading; familiarity with numerical software libraries; and experience with GPU computing and mathematical software.

Required Job Skills:
The ideal candidate will have extensive knowledge of programming techniques; strong low-level system programming abilities; high proficiency in C/C++; a basic understanding of Fortran; familiarity with numerical software, modern MPI, OpenMP, and CUDA; excellent communication skills; and a strong publication record.

For consideration, submit CV and contact information for three references.
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·
2020-10-12
Research Scientist I
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University of Tennessee ICL
·
Knoxville
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe University of Tennessee, Knoxville’s Innovative Computing Laboratory (ICL) is seeking full-time Research Scientist I candidates in one of several areas of high-performance computing (HPC), including: (1) Distributed Computing; (2) Performance Measurement and Modeling; and (3) Numerical Linear Algebra. ICL is directed by Jack Dongarra, Distinguished Professor of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.

Prospective researchers will work in a team-based, deadline-driven environment to design and implement research protocols: (1) in the design, development, and maintenance of software libraries and programming environments for large, distributed-memory hybrid machines; (2) to extend and harden the performance monitoring capabilities of ICL’s software for new and advanced hardware and software technologies; or (3) to develop and maintain numerical software libraries for solving linear algebra problems on hybrid machines with multi-core processors and hardware accelerators.

Prospective researchers will analyze, interpret results for sponsors, coauthor papers to document research findings, present the team’s work at conferences and workshops, and help lead students and other team members in the lab’s multiple research and development efforts, which are supported by the U.S. Department of Energy’s Exascale Computing Project and the National Science Foundation.

Required Education:
PhD in Computer Science, a computational science, or related field with extensive experience in one of the following: applied mathematics; HPC; computer architectures and parallel processing; or distributed, multi-core, and GPU computing.

Required Experience:
A successful candidate will have an extensive experience in one or more of the following areas:
(1) Distributed Computing – HPC, resilience, programming models, and network and parallel algorithms.
(2) Performance Measurement and Modeling – technical experience in system software, parallel computing, scientific applications, and low-level libraries; prior experience and expertise with systems programming, benchmarking, performance analysis toolkits, C, C++, and Fortran are also desired; significant experience developing large software systems is a plus.
(3) Numerical Linear Algebra – applied mathematics; technical experience in parallel computing, distributed computing, and multithreading; experience with numerical software libraries; and experience with GPU computing and mathematical software.

Required Job Skills:
The ideal candidate will have extensive experience with designing, conducting, and analyzing research projects including programming techniques; strong system programming abilities; high proficiency in C/C++; a basic understanding of Fortran; familiarity with numerical software, modern MPI, OpenMP, and CUDA; excellent communication skills; and a proven publication record.

For consideration, submit CV and contact information for three references.
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·
2020-10-12
Software Engineer
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University of Tennessee ICL
·
Knoxville
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Innovative Computing Laboratory (ICL) is seeking a self-motivated and highly productive Software Engineer to participate in the development of next-generation computational tools for the US Department of Energy’s Exascale Computing Project (ECP). This position requires a candidate who designs, develops, tests, and documents complex software solutions that perform independently or as part of a larger computational system. We expect a strong commitment to the development of high-quality software, a passion for learning new technical skills, and a keen interest in working with top-of-the-line hardware and bleeding-edge software technologies, some of which are still in active development. . ICL is directed by Jack Dongarra, Distinguished Professor of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.

Responsibilities:
• Develop and implement software using C++
• Develop and coordinate test plans, use test suites, and perform tests on software solutions
• Utilize Continuous Testing with Jenkins and other systems
• Implement and maintain build processes using Spack, CMake, and Makefile
• Integrate software with other systems, test interfaces, and manage version control
• Maintain and contribute to the development of user and developer documentation
• Conduct regular sweeps across the system, checking for consistency across documents
• Solve bug issues, engage in trouble shooting, and interact with the project community

Required Education:
• Bachelor’s degree in Computer Science or related field with demonstrable background in computer science
• In-depth industry knowledge of software engineering practices
• 3 years’ experience developing research or commercial software
Desired:
• Master’s degree in Computer Science or related field with experience developing commercial software

Required Experience:
• Minimum of 2 years’ experience in object-oriented programming, data structures, algorithms, design patterns, Linux development environment, software engineering, application development, and scripting languages

Desired Experience:
• Working experience in technical computing, scientific engineering, and computational science and/or academic research environments
• Experience in software design, development and implementation, developing test plans, and performing tests on software solutions and contributing to and maintaining documentation
• Experience working with various compiler suites and software stacks (GNU, Intel, IBM, etc.)

Required Job Skills:
• Strong C/C++ programming skills and Git or Mercurial knowledge
• Excellent verbal and written communication skills
• Ability to perform assignments under the direction of a senior researcher, working independently and meeting deadlines

Desired Job Skills:
• Python programming skills and a basic understanding of parallel computing concepts
• Working knowledge of documentation tools, such as Doxygen and Sphinx
• Skilled in using online research and training sites
• An understanding of effective ways to automate processes

This position is full-time position with full benefits.

For consideration, submit CV and contact information for three references.
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2020-10-12
541056BR - HPC Software Engineer - Experienced Professional Opportunity
·
Lockheed Martin
·
Herndon, VA
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionAt the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you.
Looking for a career with purpose? One that challenges your mind, grows your skills and contributes to our Nation’s most critical missions? Do you pride yourself on solving problems that others think are impossible? If you answered yes to these questions, then we would like you to join Lockheed Martin's Space Mission Solutions & Operations Engineering Team.

Mission Solutions develops, delivers, and operates affordable engineering and sustainment solutions for commercial, military and intelligence users across the globe. These mission critical efforts include development of creative enterprise, cloud and application-based solutions for mission management, command and control, collection orchestration and tasking, processing, data analysis and analytics along with premier operations and sustainment capabilities of space- based programs in support of national security.

What does this role look like?

This position is for a mid-career level HPC Software Engineer that will work in a High Performance Computing (HPC) Research and Development (R&D) customer contract.

You will be an active member of the Technical User Support (TUS) team, interacting with the team, TUS team lead, program Chief Scientist, Customers, users, and site staff.

The TUS team is responsible for working with HPC users to achieve faster "time to science". You will work closely with the users to port, optimize, and parallelize codes to the users’ requirements.

You are involved in system performance analysis through benchmarking, tuning libraries, and generally focused on scientific modeling, numerical processes, and other scientific software issues. You will investigate, analyze and make recommendations regarding user codes and other HPC software issues.

This includes understanding best use practices needed to take full advantage of the program’s HPC resources, research storage systems, and secure computing environment. You are also responsible for helping users adapt to a production shared resource, its scheduling system, and its high performance data storage systems.

An individual should have demonstrated his/her flexible, adaptive, problem-solving ability.

In order to be successful in this role, you will have a degree (BS) in a STEM related discipline with solid mathematics and/or physics background and experience in some combination of modeling and simulation, Fortran and/or C languages, Python, Korn, BASH, and/or Perl scripting, compilers, software benchmarking, system analysis, algorithm and/or software design.

Ability to obtain a TS/SCI Clearance required for this role.

Basic Qualifications:
• Bachelor's degree in STEM discipline Mathematics or Physics discipline preferred
• Around 5 years of experience developing system software in heterogeneous, multi-platform environments
• Proficiency with Fortran, C, and/or C++
• Experience with one or more of Python, BASH, Korn, and/or Perl
• Basic software practices such as coding standards, unit testing and configuration management
• Strong ability to analyze, debug and maintain the integrity of an existing code base
• Solid understanding of the software development process including requirements, use cases, design, coding, documentation and testing of scalable, distributed applications in a Linux environment.

Desired Skills:
• Strong communication skills a results-oriented team player, creative thinker and problem-solver and follow all ethical standards of the Lockheed Martin Corporation.
• Superior programming skills and excellent attention to detail
• Good organization skills to balance and prioritize work, and ability to multitask
• Ability to obtain security clearance TS//SCI
• Familiarity with High Performance Computing (HPC) environment and related technologies
• Experience with revision control software (CVS, SVN, Git)
• Experience with a variety of build/install tools (e.g. CMake, Makefile, autoconf)
• Familiarity with Agile Development Process a plus
• AI/ML/Neural Networks experience
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2020-10-19
Slurm Support and Development Engineer
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Slurm / SchedMD
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Utah or Remote
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionSchedMD is looking for full time engineers and dev ops specialists to provide Level 3 support for the Slurm Workload Manager. Diagnose, reproduce and fix bugs in Slurm. Add new functionality to Slurm. Direct clients how to optimally configure Slurm.

Desired skills: Strong programming background, preferably including C. Experienced debugging complex multi-threaded applications. Understanding of how to support HPC systems.

We highly encourage those with computer engineering, computer science, mechanical engineering and dev ops backgrounds to apply.

For seasoned candidates there are options to work remotely inside and outside of the USA. For other candidates this positions requires working from the main SchedMD office located in Lehi Utah.

Send questions to jobs@schedmd.com
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·
2020-10-20
Kubernetes Platform Systems Engineer
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Oak Ridge National Laboratory
·
Oak Ridge, TN
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionOverview:



The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking highly qualified individuals to play a key role in improving the security, performance, and reliability of the NCCS computing infrastructure. The NCCS is a leadership computing facility providing high performance computing resources for tackling scientific grand challenges.



The Team



The Platforms group is tasked with architecting and running our Kubernetes platform called Slate which provides a service to NCCS users and staff to develop, manage, and deliver their own applications that integrate with NCCS HPC resources.



We strive to provide the best Kubernetes service for both our internal staff as well as our scientific users. We achieve this goal in part by dogfooding and we use Kubernetes to run all of our own internal services we support. We have great opportunities to work with other staff helping them develop their applications on the platform as well as working with our outstanding scientific community as we bring Kubernetes to the HPC world.



We are at the intersection of container orchestration and HPC, come help us build the bridge.



About you



We are looking for an experienced systems engineer who can code and focus on customer success. You handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems. You love collaboration with others and coming up with the best solution to the problem. You enjoy and can pick up a new technology quickly. You love CI/CD and GitOps. You probably have production experience with Kubernetes and Golang. You may have a GitHub account with cool projects. You may have technical leadership experience.



Tools we use: Kubernetes, OpenShift, Helm, Prometheus, RHEL, GitLab CI, Terraform, Puppet, Python, Golang



Responsibilities

Participate in an on-call rotation for off-hours support
Keeping the Kubernetes platform reliable, available and fast
Architecting solutions to problems that improve the reliability, scalability, performance and efficiency of our services
Respond to, investigate, and fix service issues all the way from bare metal through the OS to the application code
Design, build, and maintain the infrastructure we need to support the NCCS
Work with our users to help them use Kubernetes
Write awesome documentation


Basic Qualifications:

A Bachelors degree in a scientific field and 2-4 years of relevant experience or equivalent experience.
At least four years experience as an SRE/Sysadmin/Systems engineer


Preferred Qualifications:

Experience with Kubernetes, OpenShift, Helm, Prometheus, RHEL, Puppet, Python, Golang


Special Requirements



Q or L clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.



Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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·
2020-10-21
Research Scientist: CFD on Exascale Architectures
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National Institute of Aerospace
·
Hampton, VA
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionNASA Langley Research Center and the National Institute of Aerospace are seeking candidates for a Research Scientist to conduct research and development aimed at exascale-class computational fluid dynamics simulations. The analysis and design of aerospace vehicles requires high-fidelity simulations capturing broad ranges of temporal and spatial scales previously considered intractable with the current class of petascale computing systems. A successful candidate is expected to develop, implement, and demonstrate computationally-performant implementations of existing and nascent algorithms at scale, targeting GPU-based High Performance Computing (HPC) systems while retaining performance portability to CPU-based architectures.

The successful candidate will work as part of an interdisciplinary team of researchers at NIA, NASA, and in academia to advance the capabilities of interest. Results of this work are expected to be published in both conference proceedings and journal papers.

Primary Responsibilities:

- Develop, implement, and demonstrate optimal performance of computational kernels critical to exascale-class simulations of aeronautics and space applications relevant to NASA missions
- Collaborate within a multidisciplinary team, leveraging GPU-based HPC systems and state of the art programming models to realize a sustainable, performance-portable computational toolset for next-generation CFD simulations


Requirements:

- MS in engineering, applied mathematics, computer science, physics, or equivalent, with strong background in HPC and computational science for large-scale applications.
- Demonstrated experience in GPU programming techniques for real-world applications; ability to achieve and demonstrate optimal performance for both memory and compute-bound motifs.
- A desire to quickly learn and apply new paradigms relevant to current and emerging architectures, and an eagerness to work in a team environment.
- Ability to successfully complete a background investigation required to obtain a NASA badge.
- US citizenship or permanent resident status is a bona fide requirement.


Desired Skills:

- PhD preferred.
- Previous experience targeting performance portability and the use of programming abstraction models
- Previous experience working with unstructured grids and implicit solution techniques
- Knowledge of fluid mechanics, numerical methods, and/or physical modeling techniques
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2020-11-01
Department of Energy Computational Science Graduate Fellowship
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Krell Institute
·
Any U.S. accredited university
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides up to four years of funding for students pursuing doctoral degrees in fields that use high-performance computing to solve problems in science and engineering.

The program also funds doctoral students in applied mathematics, statistics or computer science who are pursuing research that will contribute to more effective use of emerging high-performance computing systems.

Payment of full tuition and required fees at any U.S. accredited university; $38,000 yearly stipend; a 12-week research practicum at a national laboratory; an annual program review for fellows, alumni, university and DOE laboratory staff; and an opportunity to join a supportive and engaged community of scientific leaders.

The DOE CSGF is open to U.S. citizens or lawful permanent residents who will be enrolled in or entering full-time, uninterrupted study toward a Ph.D. by the fall start of their first fellowship term. Those selected for the program must also attend an accredited U.S. university.

The following criteria will be used to determine the eligibility of those applying for DOE CSGF. Measured at the time of application, eligibility will be extended to:

1. Undergraduate seniors

2. Applicants with no more than B.S. or B.A. degrees who are not enrolled in graduate school

3. First-year graduate students (M.S. degree or Ph.D. students with out an M.S. degree)

4. Enrolled M.S. degree students beyond their first year provided that they plan full-time, uninterrupted study toward a Ph.D. at: 1)a different academic institution, or 2) in a different academic department

5. Applicants with no more than M.S. degrees who are not currently enrolled AND who will not have been enrolled in graduate school for two years prior to resuming graduate studies

6. First-year Ph.D. students with an M.S. degree provided that they 1) completed the M.S. degree within two years at a different academic institution, 2) completed the M.S. degree within two years in a different academic department, or 3) prior to current enrollment they had not been enrolled in graduate school for at least two years.

Applications due January 13, 2021
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2020-10-28
532702BR - Linux IT Systems Engineer / Active Secret Clearance / FL
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Lockheed Martin
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Orlando, FL
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionDesigns, develops and leads system engineering, including complex High Performance Computing systems and systems design activities in multiple environments. Ensures conversion of mission requirements into total systems solutions that account for design and technology maturity constraints of the system. Supports internal and external requirements reviews. Maintains knowledge of current and developing technologies.

• Knowledge and experience with system administration of heterogeneous networks including Windows 7/10, Windows Server, Linux
• Manage operating system upgrades and patching (Windows/Linux)
• Perform guidance and management for hardware diagnostics, troubleshooting and maintenance on multiple architectures
• Ensure the integrity and availability of applications and coordinate new application installations, upgrades and customer support on the open-network and in classified areas.
• Responsible for implementing effective backup/recovery, resource
accounting, and auditing procedures.
• Perform troubleshooting and maintenance on varied IT hardware (PCs, printers, laptops, etc.).
• Validates system security requirements definition and analysis
• Establishes system security designs
• Implements security designs in hardware, software, data, and procedures
• Verifies security requirements
Please identify "basic qualifications" and "desired" skills for this position. The skills listed below will be displayed to all job seekers on the web. They will help you make and justify a selection decision. Recruiters will also use these skills to prepare search criteria when sourcing resumes. Basic qualifications are those that the candidate must absolutely possess in order to be selected for the position, and Desired Skills are those skills that would set a candidate apart from the others.

Basic Qualifications :
Active Secret Clearance (with investigation within the last 5 years)
• Ability to maintain a security clearance, and customers' acceptance
• Demonstrated experience in leveraging state-of-the-art solutions for programs
• Demonstrated experience working in environments, ensuring compliance with NISPOM/RMF/JSIG Security guidelines and other government security regulations.
• Demonstrated experience developing effective stakeholder and partner relationships
• Demonstrated experience effectively performing in a fast paced, dynamic environment
• Demonstrated ability to work through technical, project, operational and resource challenges
• Proven business acumen to manage multiple assignments and projects with the ability to balance technical requirements with business needs and affordability
• Demonstrated collaboration and teaming skills at all levels of the organization
• Knowledge and experience with system administration for Linux and/or Windows 7/10, Windows Server/Active Directory
• Strong leadership, organization, and interpersonal skills to provide customer support and support the team

Desired skills :
• Experience in High Performance Computing (HPC) with demonstrated technical knowledge, lead in infrastructure and IT security domains
• Active Top Secret security clearance (investigation within the past 5 years)
• Extensive experience in Linux Environments
• Extensive experience in High Performance Computing (HPC) with demonstrated technical knowledge, lead in infrastructure and IT security domains
• Experience with Parallel File Systems (PFS) such as Lustre or GPFS/Spectrum Scale
• Experience with workload managers such as PBS Pro, SLURM, Torque, Oracle Grid Engine, etc.
• Experience with cluster management utilities such as xCAT, Warewulf, Bright Cluster Manager, etc.
• Experience with InfiniBand networking
• Ability to develop technical and financial business cases and strategies based on complex requirements
• Prefer Security+, CISSP, or other IAT Level II/III security certification
• Experience configuring and maintaining Active Directory domains and/or NIS domains
• Experience with SSSD and Active Directory Integration
• Experience configuring and maintaining DNS (Unix and/or Windows)
• Scripting ability to support system administration (Ansible, Python, BASH, Perl, Batch, VBScript, PowerShell, etc.)
• Strong troubleshooting and problem solving skills
• Experience managing McAfee anti-virus updates on Windows and Linux/Unix
• Linux certification
• Technical documentation creation and management
• Experience developing and maintaining Linux or Windows baselines, including security settings and STIG compliance
• Ability to identify application related configuration details for optimized performance
• Intuitive thinker that can contrive and implement new solutions to technical problems
• Knowledge and experience implementing Technical Requirements on multiple operating systems for NISPOM Chapter-8, JAFAN, JSIG, DoD RMF, and other protection level caveats
• Knowledge/Experience with Multi-Level Security (MLS) or Multi-Category Security (MCS) solutions
• Demonstrated experience with RMF Requirements to include Splunk, NESSUS, and other security technologies to improve efficiencies and productivity
• Experience with monitoring and logging such as with Splunk, Elasticsearch, Logstash, Kibana (ELK), syslog, etc.
• Demonstrated ability to drive common processes and best practices
• Demonstrated experience promoting new technologies to improve efficiencies and productivity
• Familiarity with mass storage technologies such as NAS, SAN and data strategy concepts such as tiering data and HSM
• Understanding of Object Storage to include S3, Ceph, etc.
• Understanding of DevSecOps processes to include CI/CD pipelines
• Experience with containers, especially in HPC applications using Singularity, Docker, Shifter, etc.
• Experience with Kubernetes and container orchestration in secure environments
• Familiarity with software license mechanisms, particularly FlexLM
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2020-11-02
523013BR - HPC Parallel Programming Software Engineer-Senior Staff
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Lockheed Martin
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Fort Worth, TX
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionLockheed Martin Aeronautics is a company with a rich heritage of producing the finest military aircraft ever created.

This position, reporting to the Senior Manager of Engineering Digital Transformation, supports cutting edge development of aircraft platforms.

The successful candidate will develop new High Performance Computing (HPC) software tools and modernize existing tools to improve efficiency of engineering development in support of the company’s preeminent aircraft programs, including the F-35.

Must be a US citizen. This position requires special access and will require a Secret security clearance after starting.

Basic Qualifications :
• Advanced degree in Computer Science, Data Science, Mathematics, Engineering or related field with at least 10 years of scientific computing experience.
• Experience in developing, optimizing, compiling, implementing, and testing multithreaded, multiprocessor performance-oriented software with Message Passing Interface (MPI), OpenMP, CUDA or other parallel processing framework in a High Performance Computing Environment
• Experience with state-of-the-art parallel computing techniques including distributed computing, algorithm optimization, or benchmarking
• Experience in requirements development, architecture, design, implementation, testing, release, and maintenance of complex numerical simulation software and parallel software solutions
• Experience in building, compiling, and debugging complex Fortran (current and legacy versions), C/C++, Julia, Scala, Python, R or similar language code

Desired skills :
• Experience in software development in GPU based environments
• Experience with computational electromagnetics (CEM), computational fluid dynamics (CFD), multi-physics Finite Element Analysis (FEA), generative design, control theory, optimization, directed energy and/or other physics-based modeling and simulation is preferred
• Experience implementing Artificial Intelligence technologies, such as general machine learning algorithms and neural networks in a parallel HPC environment
• Experience with interface, configuration, and optimization of HPC technologies such as parallel/distributed file systems (Lustre), high speed interconnect fabrics (Infiniband), and HPC batch scheduling software (SLURM)
• Strong working knowledge of tools and libraries available for the Linux operating system.
• Ability to provide guidance to other developers on effective use of computational resources (memory, I/O buffering, threads, etc.) in application code
• Demonstrated willingness to diversify skills by staying informed of state-of-the-art developments, experimenting with and championing new technologies and recommending improvements to existing techniques and procedures
• Ability to understand complex engineering principles to effectively communicate with users, understand their work, and translate requirements into software solutions
• Excellent team building and interpersonal skills, capable of building relationships with key internal and external stakeholders across multiple geographic locations
• Able to consult on complex data engineering efforts and lead project teams through the solution design process
• Must be willing to mentor junior-level team members
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2020-11-02
Department of Energy National Nuclear Security Administration Laboratory Residency Graduate Fellowship
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Krell Institute
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Any U.S. accredited university
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Department of Energy National Nuclear Security Administration Laboratory Residency Graduate Fellowship (DOE NNSA LRGF) program seeks candidates who demonstrate the skills and potential to form the next generation of leaders in the following fields of study that address complex science and engineering problems critical to stewardship science: engineering and applied sciences, physics, materials, mathematics and computational science.

To meet its primary objective of encouraging the training of scientists, the DOE NNSA LRGF program provides financial support to talented students who accompany their study and research with practical work experience at one or more of the following DOE NNSA facilities: Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Sandia National Laboratories (New Mexico) or the Nevada National Security Site.

Fellows will work and study in residence at one or more of four approved DOE NNSA facilities for a minimum of two 12-week periods. Longer stays are highly encouraged, up to or including pursuit of thesis studies at a chosen site. This residency requirement opens compelling research opportunities to students and their advisors, including access to unique DOE NNSA experimental and computing facilities.

The DOE NNSA SSGF program provides outstanding benefits to U.S. citizens that include payment of full tuition and required fees at any U.S. accredited university; $36,000 yearly stipend; two 12-week residencies at a national laboratory; academic allowance for research or professional development expenses, an annual program review for fellows, alumni, university and DOE laboratory staff; and an opportunity to join a supportive and engaged community of scientific leaders.

This equal opportunity program is open to all qualified persons without regard to race, gender, religion, age, physical disability or national origin.

Applications are due March 17, 2021.
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2020-11-02
Department of Energy National Nuclear Security Administration Stewardship Science Graduate Fellowship
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Krell Institute
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Any U.S. accredited university
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Department of Energy National Nuclear Security Administration Stewardship Science Graduate Fellowship (DOE NNSA SSGF) is open to U.S. citizens planning full-time, uninterrupted study toward a doctoral degree at an accredited U.S. university.

Those eligible to apply include senior undergraduate students and first- and second-year graduate students focusing their studies on high energy density physics, nuclear science, or properties of materials under extreme conditions and hydrodynamics.

DOE NNSA SSGF recipients must be enrolled as full-time graduate students at an accredited U.S. college or university and must study and research within the fellowship goals. During the summer, fellows should conduct full-time research related to completing their degree, enroll in classes or take a practicum assignment at one of the DOE NNSA laboratories.

DOE NNSA SSGF provides outstanding benefits to U.S. citizens including payment of full tuition and required fees at any U.S. accredited university; $36,000 yearly stipend; a 12-week research practicum at a national laboratory; academic allowance for research or professional development expenses; an annual program review for fellows, alumni, university and DOE laboratory staff; and an opportunity to join a supportive and engaged community of scientific leaders.

This equal opportunity program is open to all qualified persons without regard to race, gender, religion, age, physical disability or national origin.

Applications due January 6, 2021
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2020-11-01
Storage Systems Administrator
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National Renewable Energy Laboratory
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Golden
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Computational Science Center at NREL is currently seeking a Systems Administrator to work in our Storage Technologies team. In this role, the incumbent will install, configure, and support storage-related products (hardware and software) and services in the Center's data center. This Systems Administrator / Storage Engineer will focus primarily on storage engineering of multiple data-intensive activities that utilize a variety of storage strategies including object storage, block storage, and distributed file systems using high speed interconnects. There is a research component to determine optimal hardware and software configurations in addition to keeping abreast of new technologies and techniques for storage services.

Job Duties:

Implement, configure, and maintain specialized storage solutions and environments.
Maintain documentation on system capabilities, storage environments, equipment, and procedures for use by other team members.
Perform storage administration of data-intensive activities including:
Backup management.
Installation, tuning, and maintenance of system and storage hardware including servers, disk and tape subsystems.
Deployment and maintenance of technologies that provide access to storage resources such as NFS.
Independently write, document, and maintain system or storage administration tools and scripts for internal use. Research and obtain storage-engineering tools available outside of NREL as appropriate.
Install, configure, test, and maintain innovative storage-related computing hardware and software systems, coordinating with vendors as applicable. Document and report problems to the team, and follow issues through to successful problem resolution.
Work with the HPC Operations team in a primarily Linux environment to identify and provide hardware, software, and support services that enable and advance NREL's mission with data-intensive science and engineering goals.
Make technical recommendations on system software configuration, hardware configuration, user policies, security procedures, and administration procedures.
Monitor systems and inform operations staff of system events (new features, failures, patches) and the impact of these on the user community. Participate in the Operations Team's Change Management process to track changes.
Use, develop, and deploy monitoring tools to provide usage reporting and problem alerting.
Apply all applicable NREL and DOE policies and procedures to ensure the security and reliability of provided services.
Share knowledge with other team members, including training others in your areas of expertise.
You will be expected to learn and adapt new technologies.

Basic Qualifications:
Bachelor's Degree in Computer Science, Engineering or related and 2 or more years of experience or equivalent relevant education/experience. Or, Master's Degree in Computer Science, Engineering or related or equivalent relevant education/experience. General knowledge and application of standards, principles, concepts and techniques in specific field. Some understanding of related IS practices and standards. Skilled in analytical techniques and practices, and problem solving. Skilled in written and verbal communication. Intermediate programming ability with various computer software programs and information systems.

Preferred Skills:
A solid foundation in Linux systems engineering, storage engineering, and data systems architectures
Experience with backup software, SAN concepts, tape drives, and tape libraries
Experience with Network Attached Storage solutions
Storage zoning
Ability to research and formulate hardware designs and act according to the decisions
Scripting languages such as Python, PERL, Bash

Additional Preferred Skills and Background:
TCP/IP Network environment concepts and management of TCP/IP network equipment
Some knowledge of InfiniBand
Experience with storage clusters such as Ceph, Swift, or Cinder
Sun/Oracle SAMQFS management
Experience with parallel file systems commonly used in High Performance Computing clusters such as Lustre or GPFS
Some Windows systems administration knowledge a plus
Experience in systems administration for data-centric servers and services
Experience connecting to monitoring tools such as ZenOss, Nagios, etc.
Experience with Ansible a plus
Some experience with git DCVS

EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
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2020-11-02
Linux Systems Administrator
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National Renewable Energy Laboratory
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Golden
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado, is the nation's primary laboratory for research, development, and deployment of renewable energy and energy efficiency technologies. The NREL Computational Science Center (CSC) has an immediate opening for a Linux Systems Administrator. The Advanced Computing Operations teams supports High-Performance Computing, Data-Intensive Computing, and computing using public cloud services. This position is responsible for architecture, engineering, implementing and operating services.

Job duties and responsibilities of the position:

Day-to-Day Operations:

Provide operations support to, and work closely with, project owners and developers to design on-premise and cloud-based solutions that meet evolving needs and monitor/enhance performance.
Demonstrate leadership for the “day-to-day” and ongoing project work and operations of the research data environment.
Maintain the integrity and continual operation of the computing, data storage systems, and related services.
Maintain cyber security and privacy of the information and computing systems, networking, and equipment.
Technology Tracking:

Assess new computing technologies and the feasibility of system enhancements to determine potential value.
Identify emerging data systems and storage technologies to be assimilated, integrated, and introduced within private and public cloud, and on-premise dedicated data analysis and visualization systems.
Vision and Planning:

Help develop and articulate vision, and strategic planning for the Computational Science Center’s (CSC) Advanced Computing Operations Team.
System architecture, design, implementation, and integration to serve the diverse computing needs of the NREL scientists, engineers, and analysts.

Basic Qualifications:
Bachelor's Degree in Computer Science, Engineering or related and two or more years of expeience or equivalent relevant education/experience. Or, Master's Degree in Computer Science, Engineering or related or equivalent relevant education/experience.

Preferred Skills:
Automated configuration management using Ansible
Architecture, engineering, installation, and maintenance of OpenStack environment
Management of Linux operating systems
Scripting languages Python, Shell(s), Bash, Expect
System monitoring and alerting tools
Solid understanding of networked computing environment concepts such as TCP/IP, VLAN
Enterprise level directory services (LDAP), RHEL IdM/IPA
Installation and maintenance of web servers including Apache and NGINX
Familiarity with OpenStack
Bridge gaps between domain language (engineering, science) and computing solution language
Customer focused
Proven ability to embrace and drive change
Clear dedication to excellence and advancing beyond the current state.
Strong personal motivation
Good networking skills, able to develop and maintain relationships with wider Scientific Computing community


EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
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2020-11-02
Cloud Computing Support Engineer
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National Renewable Energy Laboratory
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Golden
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
XO
TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe High Performance Computing Systems and Operations Group in the Computational Science Center is in need of a talented individual who can support scientific research, data-sharing, web applications and field research work leveraging Amazon Web Services (AWS). This candidate must have an interest in making a difference in the world by helping to design, build, automate and enhance cloud hosted systems that support data-sharing platforms, web applications, data analysis platforms, machine learning environments, and data modeling environments related to sustainable energy technologies and markets. This position will predominantly involve systems architecture, permissions management and service provisioning. This candidate will work directly with project leaders and the cloud team to help design, implement and enhance cloud-based solutions for external and internal applications or analysis environments. This position involves learning and working with a wide array of technologies at all tiers of a software and infrastructure stack.

To best support our project teams, we need someone who understands and can help implement cloud best practices for availability, performance, security and cost efficiency. You will be providing project teams with cloud architectural and development guidance, deploying secure infrastructure, providing appropriate least-privileged access to project team members, helping create cost estimates, working with teams on meeting their milestones, and providing platform, custom API or web portal support for common patterns and practices. A successful candidate will be able to work on multiple priorities across multiple teams, while adhering to NREL’s and the cloud team’s processes and procedures.

Working as a member of the cloud team, you will be responsible for managing your tasks across multiple projects/deadlines, moving internal projects/initiatives to completion, contributing to our infrastructure as code repositories, working with cloud team members on standards, patterns and practices, and providing operational support for projects deployed to the cloud. To best support these efforts a successful candidate should have good problem-solving skills, communication skills and background in some of the following: infrastructure as code, systems monitoring, systems or database administration, log management, cloud security, utilizing ticketing systems, performance tuning and automation.

Basic Qualifications:
Bachelor's Degree in Computer Science, Engineering or related and 5 or more years of experience or equivalent relevant education/experience. Or, Master's Degree in Computer Science, Engineering or related and 3 or more years of experience or equivalent relevant education/experience. Or, PhD in Computer Science, Engineering or related or equivalent relevant education/experience.

Additional Required Qualifications:
Complete understanding and wide application of principles, concepts and techniques in specific field. General knowledge of related IS disciplines. Strong leadership and project management skills. Skilled in analytical techniques, practices and problem solving. Advanced programming, design and analysis abilities with various computer software programs and information systems. Skilled in analytical techniques and practices, and problem solving. Skilled in written and verbal communication.

Required:
Must be able to obtain an HSPD-12 badge/credential.
Must have demonstrated experience with UNIX/Linux system administration.
Must have experience with one or more cloud service providers, for example, AWS, google, Azure – Microsoft.

Preferred:
Database Systems:Postgres, MySQL, RedShift, MongoDB/DocumentDB
Deployment Support:Jenkins, CodeBuild
Configuration Management:Ansible, AWS Systems Manager
Instance OS:mix of Linux and some Windows, Linux-based Docker support
Web Frameworks:Django, Flask
Familiarity with and the commitment to stay educated on Amazon Web Services is preferred. These AWS services are commonly used at NREL: EC2, S3, Route53, EMR, SES, SNS, Lambda, Athena, RedShift, ECS, ECR, EFS, Cognito, Service Catalog, Batch, CloudFormation, ElastiCache and CloudWatch


EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
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2020-11-02
TACC - Research Engineering Scientist Associate
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Texas Advanced Computing Center
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Austin
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Research Engineering and Science Associate (RESA) is a position in the Scalable Computational Intelligence (SCI) group at TACC. The individual will contribute to research, development, and support activities involving big data analysis, statistical analysis, and machine learning technologies and the interfaces by which users can transparently harness these techniques and technologies.

The primary responsibilities of this position at TACC are the following:
• Explore and understand new techniques and technologies related to support high performance scalable data analysis and machine learning. Responsible for assignments that require the technical knowledge to modify or adapt routine procedures under the direction of a supervisor, to meet special research requirements for data projects hosted at TACC.
• Working with data providers, consumers, systems experts, and staff to design, develop, deploy, and support scalable high-performance machine learning application and systems at TACC. Assists fellow research associates, research scientists, engineers, or faculty members with specific phases of research projects and proposal preparation.
• Prepare user documentation and guides to support the usage and operations of data analysis tools and APIs supported and/or developed at TACC. Train and teach the capabilities and potential usages of machine learning techniques in a wide array of research domains and levels of computational abilities.
• Other related functions as assigned by manager and leadership team.

REQUIRED QUALIFICATIONS
The selected candidate must have the following minimum qualifications:
• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, or other related research field with a strong background in machine learning and data analytics.
• Proficient in at least two of following programming languages: Python, Java and C++
• Knowledgeable in data analysis software tools and environment, such as R, TensorFlow, Scikit-learn, pyTorch, and Spark.
• Working knowledge with website design, implementation and operation and familiar with HTML5, Java Script, and web programming framework,
• The ability to learn, adapt, and teach new technologies to enable new capabilities or improve on existing ones.
• Experience teaching data mining and machine learning to a wide array of students, researchers, and developers.
• Excellent written and verbal communications skills.

PREFERRED QUALIFICATIONS
One or more of the following qualifications are strongly desired:
• Three or more years’ experience in developing and implementing machine learning algorithm/applications in an academic research environment.
• Experience implementing and supporting a machine learning and data analytics applications, workflows.
• Practical experiences with teaching, deploy and using at least one common deep learning frameworks such as Caffe, Tensorflow, Keras, PyTorch.
• Experience developing applications in large parallel environments and tools such as Hadoop, Hbase, HIVE, Elastic Search, and SparkML.
• Familiar with standard parallel computing tools and interface, such as MPI, CUDA.
• Excellent problem solving and strategic thinking skills.
• Recent peer-reviewed publications in computer science fields relevant to machine learning, big data analysis and/or high-performance computing.
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TACC - Storage Administrator
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Texas Advanced Computing Center
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Austin
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Texas Advanced Computing Center (TACC) at the University of Texas at Austin seeks an experience Storage Administrator with strong storage background.
TACC is looking for personnel familiar with HPC storage hardware and parallel filesystems for a senior storage administrator position. We host around 60PB total of non-archive storage, divided up in separate subsystems attached to our various HPC clusters. Most of our storage is presented to clients using Lustre, a popular opensource parallel filesystem. Our storage backend is provided by vendors like: DDN with their 14K and 18K controller solutions, ClusterStor (via Cray via HPE) with their ClusterStor E1000 storage platform, IBM any of which provide solutions for presenting redundant pools of disks via redundant controllers, and leveraging multipath to our lustre servers. We maintain the majority of the stack and work closely with vendors for upgrades to low-level core infrastructure. We're interested in talented staff with substantial experience in any of the above layers our storage solutions. We also require strong Linux/Unix skills due to the nature of the environment that we operate and familiarity with careful troubleshooting and documentation processes.

Must be eligible to work in the US on a full-time basis for any employer without sponsorship.

Responsibilities
• Leverage linux expertise to monitor and troubleshoot interconnects in a SAN/Cluster environment based on in-depth understanding and working knowledge of each layer to correlate error messages and identify component failures.
• Assist in the operation of production parallel file systems at maximal availability while maintaining expected performance levels.
• Utilize scripting skills to proactively identify performance issues and provide timely resolution of errors to prevent or reduce duration of file system outages.
• Respond to emergency situations involving system problems, downtime and security breaches.
• Create and maintain documentation aligned with TACC's workflow tracking methodology.

Required Qualifications
• Bachelor’s degree in engineering, computer and information science, or other applied science.
• 4+ years in developing, debugging and administering Linux/Unix systems including network exported filesystems.
• Demonstrated expertise with standard concepts, practices, and procedures in Linux systems administration.
• Proficient in network configuration of Ethernet and Fiber Channel/SAN environments.
• Experience with Bash scripting to automate system tasks, or programming languages such as Perl, Python.
• Excellent troubleshooting skills including the ability to quickly recognize diverse failure modes and corresponding symptoms.
• Demonstrates excellent verbal/written communication skills
• Works well independently and in a team environment
Relevant education and experience may be substituted as appropriate.

Preferred Qualifications
• Bachelor's degree in computer science or related field
• 4+ years of experience in administering Lustre or GPFS parallel file systems
• 3+ years high speed interconnect experience with InfiniBand (IB), Omni-Path (OPA), or 40gE
• 2+ years of experience with storage subsystem including conventional RAID, Declustered RAID, or Erasure Coding with ClusterStor or DDN
• Proficiency in RedHat/CentOS system software package management, software/kernel patching/compilation, hardware diagnostics, backups, and failure-recovery procedures
• Experience configuring, operating and maintaining HPC/Cloud Linux clusters and PXE based baremetal provisioning.
• Ability to contribute to the evaluation of new storage architectures, systems, and software tools.
• Experience in an academic research environment and with large scale storage deployments greater then 16+ servers and 10PB

Salary Range
$90,000 + depending on qualifications
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TACC - Systems Administrator
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Texas Advanced Computing Center
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Austin
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionSystem administrator
The Large Scale Systems group at Texas Advanced Computing Center invites a Systems Administrator who can provide Linux systems administration and hardware support for HPC systems. The position will require interaction in a multi-vendor, high performance computing environment that includes petascale HPC and storage systems and high-speed networking infrastructure. Our environment operates many thousands of Dell, Cray (now HPE), SuperMicro, HPE, and IBM servers running various Linux distributions and serving users at many USA institutes as well as international partners.

Must be eligible to work in the US on a full-time basis for any employer without sponsorship.

Responsibilities
• Maintain and administer Linux based HPC clusters with multiple architectures.
• Monitor cluster management software, and the job scheduler.
• Diagnose and repair large Linux cluster hardware components.
• Work closely with other systems administrators to meet day to day operational needs.
• Collaborate with the team to meet the center goals, priorities and initiatives.
• Create and maintain documentation aligned with TACC's systems.
• Document and share solutions for routine tasks and automate when applicable.
• Provide feedback for improvements in automation and process for the group.

Required Qualifications
• Bachelor's Degree.
• 2+ years experience administering Linux systems (RedHat or CentOS preferred).
• Experience in Linux systems administration and repairing system hardware.
• Ability and desire to learn new concepts.
• Excellent verbal/written communication skills.
Relevant education and experience may be substituted as appropriate.

Preferred Qualifications
• Familiarity with system software package management, patches, software compilation, concepts such as RAID, hardware diagnostics, network configuration, backups, and failure-recovery procedures
• Experience configuring and deploying Linux clusters of any size including configuration management tools such as Puppet, Ansible, LoSF.
• Basic knowledge with one or more scripting languages, (Python, Perl, Bash).
• Hands on experience in physical deployment including cabling, power distribution and cooling.
• Practical knowledge of one or more of the following interconnects: InfiniBand, iSCSI, Fiber-Channel, Omni-Path or GE.
• Experience working in an academic research environment working in collaborative, interdisciplinary projects with computational scientists and engineers.

Salary Range
$60,000 + depending on qualifications
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Group Leader, HPC Clusters
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Oak Ridge National Laboratory
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Oak RIdge
SessionJob Fair
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Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionOverview:

We are seeking a Group Leader for HPC Clusters in the National Center for Computational Sciences (NCCS). Selection will be based on qualifications, relevant experience, skills, and education. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale problems across a broad range of scientific domains for accelerating scientific discovery and engineering advances. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities.



Purpose

Provide both technical and non-technical leadership to a group of between 6-10 Linux Systems Engineers that strategically advances technical professional subject matter expertise for a variety of technical projects, programs or operations consistent with ORNL’s aspiration to be the world’s premier R&D institution and ORNL’s science culture.



The Technical Group Leader orchestrates and oversees a group of peers with the primary goal of pursuing global leadership in their field, nurtures ORNL’s culture among group members, and continues to build and scale up individual excellence and impact. The Technical Group Leader reports to and works closely with the Section Head to implement the group’s technical vision; works closely with group members to identify areas for growth, set/establish performance-related goals, address performance-related deficiencies, and provide opportunities to further enable their career advancement; establishes capabilities that enable programs to excel at the forefront of technical professional expertise; works to solve technical challenges for science, engineering, or technical projects and functions; sets, implements, and models standards for performance of work consistent with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and ensures a diverse and inclusive work environment where every employee feels safe, heard, and appreciated—a workplace that sets an example for the broader community.



Technical

Technical professionals are recognized leaders in their area by providing subject matter expertise for a variety of technical projects, programs, or operations. Solves technical challenges for science, engineering, operations or projects.



The Group Leader will guide the the HPC Clusters Group in its responsibility for the day-to-day administration and support of the NCCS/OLCF capacity computing needs within NCCS (for both the OLCF and other programs/initiatives such as CADES). Activities include program and project-related requirements gathering, system architecture and procurement efforts, along with the subsequent installation and deployment, acceptance and performance testing, upgrades, problem diagnosis and troubleshooting, etc.



Major Duties/Responsibilities:



Leadership

Develop a vision and implement a cohesive group strategy to ensure the success of new and ongoing technical projects to position the group for future success.
Develop and implement plans to exploit new opportunities and/or expand existing efforts.
Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback, coaching, and mentoring to individual group members in an effort to address performance or behavioral issues in a timely manner.
Work to build consensus around best-practice technical solutions, both within the group and in cross-cutting projects within the NCCS, and assist in associated conflict resolution.
Conduct annual Group Health Assessments, where performance among group members is evaluated and compared to peers in their respective fields, and overall group health and performance is evaluated against pre-established metrics
Provide relevant input to assist the Technical Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
Attract a quality, diverse pool of top candidates and hire staff members who are committed to world-class technology and aspire to be the best in their field.
Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles
Lead ESH&Q by example and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Exemplify a commitment to “One ORNL” by modeling lab expectations for excellence in research, operations, and community engagement, and by working cooperatively to leverage capabilities across the lab.


Service

Serve as immediate supervisor for staff members in group.
Encourage staff to “think and dream big,” take appropriate risks in their work, and develop skills that will enable them to pursue new ideas, technical passions, and programs.
Advance the reputation of the group members and standing of the group as a whole through establishing collaborations, Professional Society leadership and involvement, and organization of technical events.
Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
Build strong teams across ORNL.
Connect staff to your network and professional societies.
Hold regular technical group meetings and be visible in the labs and workplace.
Hold regular 1-on-1 meetings and discussions with individual staff members to discuss project tasks, status, obstacles, and needs.
Assume front-line responsibility for safety in the group’s laboratory; mentor and empower the Laboratory Space Managers to create a strong safety culture.
Effectively communicate the importance of protecting proprietary or sensitive information and complying with ORNL security, cybersecurity policies and guidelines.


Accountabilities:

To group staff, for the quality and safety of their work environment and opportunity for professional growth.
To R&D section head, for world-leading technical directions, safe effective, and compliant operations, ownership of assigned staff, facilities, and equipment, and the quality of products and services.
To customer, for the quality of products and service


Authorities:

Develop a vision and implement a strategy to pursue world-leading technical/technology directions for the group.
Hold staff accountable for performance through organized and documented Employee Performance Management processes and Group Health Assessments.
Act to ensure safe and effective operations
Recruit, Interview, and recommend hiring of staff
Develop on-boarding plans for new staff—including assignment of technical and non-technical mentors
Certify the technical quality of the group’s products and services


Qualifications Required:

Requires a Ph.D. with a minimum of 4 years relevant experiences, a M.S. with a minimum of 7 years experiences, a B.S. with 8 years relevant experiences, or significant relevant experiences.
Qualified candidates should have demonstrated experience in leading technical teams
Other qualifications are section specific


Preferred Qualifications:

Qualified candidates should have demonstrated management experience
History of engagement with Department of Energy and national laboratory complex, particularly leadership class computing
Exceptional communication, planning, collaboration, and customer service skills.


Special Requirements:



This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.



Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
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2020-11-06
Group Leader, Advanced Computing for Chemistry and Materials
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Oak Ridge National Laboratory
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Oak Ridge
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionOverview:

We are seeking a Group Leader for the Advanced Computing for Chemistry and Materials group within the Science Engagement section in the National Center for Computational Sciences (NCCS). Selection will be based on qualifications, relevant experience, skills, and education. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated scientific and technical professionals tackling large-scale problems across a broad range of scientific domains for accelerating scientific discovery and engineering advances. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities.



Purpose

The Advanced Computing for Chemistry and Materials Group Leader will provide Research and Development (R&D) leadership to the group that strategically advances the groups research portfolio consistent with ORNL’s aspiration to be the world’s premier R&D institution and ORNL’s science culture.



The Group Leader leads a group of chemistry and materials science researchers with the primary goal of pursuing global scientific leadership in these fields, nurtures ORNL’s culture among group members, and continues to build and scale up individual excellence and impact in R&D. The Group Leader reports to and works closely with the Science Engagement Section Head to implement the group’s scientific vision; develops group members to enable their career advancement; establishes capabilities that enable programs to excel at the forefront of science and technology; performs independent and collaborative R&D to advance the fields of chemistry or materials science; sets, implements, and models standards for performance of work consistent with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and ensures a diverse and inclusive work environment where every employee feels safe, heard, and appreciated—a workplace that sets an example for the broader community.



Research

We seek a scientist from the broad field of materials science and/or chemistry who is a recognized leader in their scientific discipine. They initiate, lead and perform independent R&D on an ongoing basis. The Group Leader will partner with scientific domain experts and help them obtain optimal results from the NCCS’s computational resources and systems.



Major Duties/Responsibilities:



Leadership

Develop a vision and implement a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
Work closely with the NCCS leadership computing user community as partners in projects to exploit the resources of the NCCS effectively and efficiently. This includes partnering with large user program projects in moving data and programs into and out of the NCCS computational environment, developing, porting, and scaling applications and algorithms for NCCS computers, tuning applications for high performance, and scheduling applications to execute at scale to meet the scientific capability needs of the users.
Assist in capability planning exercises and in defining requirements for, and assisting in the development of system software, libraries and tools that meet the materials science and chemistry communities’ needs.
Participate in high-performance-computing community-wide efforts to design new methodologies, workflows, tools, and other contributions that will advance the state of the art in computational science.
Lead appropriate computational science research proposals with ORNL and external collaborators that allow for the conduct of scientific research that will be reported on in journals, technical manuals, and conferences.
Develop and implement plans to exploit new opportunities and/or expand existing efforts.
Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback to address performance issues in a timely manner.
Provide relevant input to assist the R&D Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
Attract a quality, diverse pool of top candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field.
Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles
Lead ESH&Q by example and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Exemplify a commitment to “One ORNL” by modeling lab expectations for excellence in research, operations, and community engagement, and by working cooperatively to leverage capabilities across the lab.


Service

Serve as immediate supervisor for staff members in group.
Encourage staff to “think and dream big,” take appropriate risks in their work, and develop skills that will enable them to pursue new ideas, scientific passions, and research programs.
Advance the reputation of the group members and standing of the group as a whole through establishing collaborations, Professional Society leadership and involvement, and organization of technical events.
Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
Build strong teams across ORNL.
Connect staff to your scientific network and professional societies.
Hold regular scientific/technical group meetings and be visible in the labs and workplace.
Assume front-line responsibility for safety in the group’s laboratory; mentor and empower the Laboratory Space Managers to create a strong safety culture.
Effectively communicate the importance of protecting proprietary or sensitive information and complying with ORNL cybersecurity policies and guidelines.


Accountabilities:

To group staff, for the quality and safety of their work environment and opportunity for professional growth.
To R&D section head, for world-leading science and technology directions, safe effective, and compliant operations, ownership of assigned staff, facilities, and equipment, and the quality of products and services.
To customer, for the quality of products and service


Authorities:

Develop a vision and implement a strategy to pursue world-leading science and technology directions for the R&D group.
Hold staff accountable for performance
Act to ensure safe and effective operations
Hire staff
Certify the technical quality of the group’s products and services


Basic Qualifications:

Requires a Ph.D. with a minimum of 6 years relevant experience, a M.S. with a minimum of 12 years experiences, B.S. with 15 years experience.
Qualified candidates should have demonstrated experience in leading R&D teams
Demonstrated R&D experience in chemistry, materials science, or a relevant scientific domain and knowledge of high performance computing and scalable data analytics or deep learning


Preferred Qualifications:

Qualified candidates should have demonstrated management experience
History of engagement with Department of Energy and national laboratory complex, particularly leadership class computing
Exceptional communication, planning, collaboration, and customer service skills.


Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
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2020-11-06
Research Solutions Engineer
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Purdue University
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West Lafayette
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Research Solutions Engineer will design, deploy, administer and
update large-scale research systems, related infrastructure services,
grid software stacks and operating systems. The position will be
responsible for components of Purdue’s computational research
environment, and will work closely with researchers, systems
administrators, and developers throughout the University and
partner institutions. Consults with multiple IT colleagues, external
research groups and on grant-funded initiatives. Administers
existing cluster and grid infrastructure technologies, and researches/
prototypes new systems and technologies. Participates in national
computing activities by attending workshops and conferences and
potentially presenting research.

JOB PERKS
The Lafayette/West Lafayette community boasts a low cost of living and an overall high quality of life. In 2011, Forbes ranked Lafayette #11 on its list of best small places for business and careers. And that’s just one of the many accolades our community has earned. If you get hungry for the big city, we’re conveniently located between Chicago and Indianapolis.

Purdue University offers a generous assortment of benefits, many of which are effective on the first day of employment. Details about some of the benefits available to Purdue employees are included below. To learn more about the complete set of benefits offered,
visit: www.purdue.edu/benefits.

HEALTH BENEFITS
Employees can choose from several medical plans, including a traditional PPO plan and two high-deductible health savings account (HSA) plans. Purdue medical plans include comprehensive prescription and vision coverage, and employees and eligible dependents also receive preventative dental coverage.

RETIREMENT
A variety of retirement plans administered by Fidelity Investments are
available to employees, including a defined contribution plan to which
Purdue contributes 10 percent of an employee’s budgeted annual pay
after the completion of a three-year waiting period.

TUITION FEE REIMBURSEMENT
Purdue offers tuition fee remission for employees and their families. In
addition, the Office for the Vice President of Information Technology is
committed to supporting educational opportunities for our employees
through a scholarship program for employees pursuing a degree at an
accredited institution. Learn more:
https://www.itap.purdue.edu/hr/scholarship/facts.html.

ADDITIONAL PERKS
The Center for Healthy Living on Purdue’s West Lafayette campus
brings together a wide array of services to treat common illnesses and
promote health. In addition, Purdue employees receive discounted
rates at Purdue’s Recreational Sports Center, employee discounts at
area businesses, and free transportation on the Greater Lafayette
CityBus system.
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Computational Scientist
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Purdue University
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West Lafayette
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe Computational Scientist will consult with researchers of high-performance computing in the steps necessary to complete their research including: interacting with operating systems, operational policies and procedures; the evaluation and implementation of new technologies and algorithms; and the development of materials for documentation and training. Utilize creativity and innovation to solve conceptual computing problems raised by cutting-edge research. Will diagnose a wide range of application and data problems; and design, code, test, debug, install, document and maintain complex programs.

JOB PERKS
The Lafayette/West Lafayette community boasts a low cost of living and an overall high quality of life. In 2011, Forbes ranked Lafayette #11 on its list of best small places for business and careers. And that’s just one of the many accolades our community has earned. If you get hungry for the big city, we’re conveniently located between Chicago and Indianapolis.

Purdue University offers a generous assortment of benefits, many of which are effective on the first day of employment. Details about some of the benefits available to Purdue employees are included below. To learn more about the complete set of benefits offered,
visit: www.purdue.edu/benefits.

HEALTH BENEFITS
Employees can choose from several medical plans, including a traditional PPO plan and two high-deductible health savings account (HSA) plans. Purdue medical plans include comprehensive prescription and vision coverage, and employees and eligible dependents also receive preventative dental coverage.

RETIREMENT
A variety of retirement plans administered by Fidelity Investments are
available to employees, including a defined contribution plan to which
Purdue contributes 10 percent of an employee’s budgeted annual pay
after the completion of a three-year waiting period.

TUITION FEE REIMBURSEMENT
Purdue offers tuition fee remission for employees and their families. In
addition, the Office for the Vice President of Information Technology is
committed to supporting educational opportunities for our employees
through a scholarship program for employees pursuing a degree at an
accredited institution. Learn more:
https://www.itap.purdue.edu/hr/scholarship/facts.html.

ADDITIONAL PERKS
The Center for Healthy Living on Purdue’s West Lafayette campus
brings together a wide array of services to treat common illnesses and
promote health. In addition, Purdue employees receive discounted
rates at Purdue’s Recreational Sports Center, employee discounts at
area businesses, and free transportation on the Greater Lafayette
CityBus system.
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IT related jobs at IU
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Indiana University
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Indiana
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionWith Big Red 200 in place, we are empowering global networks and are enabling supercomputer research. We provide IU with high-tech tools, guard against cyberthreats, and preserve knowledge. With you, we can do even more. Interested in a job at UITS? We currently have 19 job postings in IT.

Indiana University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, age, sex, sexual orientation or identity, national origin, disability status, or protected veteran status. This institution is also a provider of ADA services.
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2020-11-10
2021 Alvarez-Hopper Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
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Berkeley
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
Description2021 Alvarez-Hopper Postdoctoral Fellow - 91062
Organization: AC-Computing

The Computing Sciences Area at Lawrence Berkeley National Laboratory is now accepting applications for the distinguished Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences. Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. The successful applicants will work with a research group within the Computing Sciences Area and receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the dynamic San Francisco Bay Area.

Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, and computational sciences. The Admiral Grace Hopper Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in high performance computing (HPC) research.

About Computing Sciences at Berkeley Lab:
Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, fusion energy, and HPC systems and network technology. Research areas in Computing Sciences include:

• Developing scientific applications and software technologies for extreme-scale and energy-efficient computing
• Developing mathematical modeling for complex scientific problems
• Designing algorithms to improve the performance of scientific applications
• Researching digital and post-digital computer architectures for science
• Advancing extreme-scale scientific data management, analysis, and machine-learning
• Developing next-generation machine learning and AI approaches for science
• Advancing quantum computing technologies, software, algorithms and applications
• Evaluating or developing new and promising HPC systems and networking technologies
• Researching methods to control and manage dynamic circuit networks
• Developing large-scale visualization and analytics technologies
• Managing scientific data in distributed environments

What is Required:
• Ph.D. in computer science, mathematics, computational science, or related discipline
• Candidates must have received their Ph.D. within the last three years
• Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field
• Demonstrated creativity and the ability to perform independent research
• Demonstrated excellence in a related research field including: solid publication record, high citations, and awards
• Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities
• Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders

Desired Qualifications:
• Knowledge of advanced computing and high-performance computing

Application Process:
For full consideration, please apply by close of business on November 30, 2020.

There is a multi-step application process:
• Submit a full and complete application, including the names and contact information for references.
• As part of your application, you must upload and submit additional materials:
- CV/Resume
- Cover Letter
- Research Statement (should be no more than five (5) pages in length)
- Publications List
- Three (3) Letters of Reference must be submitted directly from three individual letter writers (due November 16, 2020). You are required to use the template (http://go.lbl.gov/lor-template) to send requests for your letters of reference. The template provides instructions for letter writers regarding where to return the letter by the deadline.
- Application deadline: November 30, 2020. However, your letters of reference must be received by the Lab directly from your letter-writers by December 7, 2020. We recommend that you give advance notice of the deadlines to your letter-writers.

* It is highly advisable to have this required information ready prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing.

Application Timeline:
The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received.
• Application deadline: November 30, 2020
• Letters of Reference due: December 7, 2020
• Review and Selection: December 2020 – January 2021
• Finalist announced: January/February 2021

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189529 and follow the on-line instructions to complete the application process.

Notes:
• This is a two-year postdoctoral appointment with the possibility of renewal and/or conversion to a Career or Term Research Scientist position based upon appropriate division review and approval, job performance, continuing availability of funds, and ongoing operational needs
• The selected candidates will be offered either the Luis J. Alvarez Fellowship or the Admiral Grace M. Hopper Fellowship based on their research focus
• This position is represented by a union for collective bargaining purposes
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position
• Work will be primarily performed at: Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA

Learn About Us:
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (https://hr.lbl.gov/).

Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-12
Postdoctoral Appointee – Machine Learning, Deep Learning, Computer Vision for Ecology
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Argonne National Laboratory
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Lemont, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionPosition Description:

The mission of Argonne’s Environmental Science Division (EVS) is to provide pioneering fundamental and multidisciplinary research and innovative analyses to solve global and local challenges, applying our core competency in predictive environmental understanding. Argonne is home to a wide variety of computing systems, including some of the most powerful high-performance computers in the world. These systems provide computing power to advance understanding in a broad range of disciplines.

The EVS division seeks a post-doctoral appointee to develop an AI-enabled technology for collecting data on wildlife behavior around renewable energy facilities in support of the U.S. Department of Energy’s Solar Energy Technology Office. We seek a data scientist, who is passionate about machine/deep learning (ML/DL) algorithm development using images and video footage, interested in working with AI-enabled edge-computing cameras, and values interacting with experts in diverse disciplines. The successful candidate will develop vision-based ML/DL algorithms/models – which includes training data collection, ML/DL model training and testing, supporting software development, and hardware-software integration – for near real-time monitoring of bird interactions with solar energy infrastructure using AI-enable edge-computing cameras deployable at operational large-scale solar energy facilities.

Position Requirements:

PhD in Computer Science, Environmental Science, Biology, or similar.
Experience in machine/deep learning, computer vision, scientific computing or mathematical optimization.
Programming experience in C, C++, and/or Python.
Good skills in sustainable software engineering practices such as version control, self-documenting code, unit testing and continuous integration.
Contributions to community software packages aligned with the position will be looked on favorably.
Good communication skills, both verbal and written.

Desirable Knowledge and Skills:

Experience in applying machine/deep learning approach for ecological/environmental research.
Experience in Keras, Tensorflow, PyTorch, Chainer, or similar packages.
Ability to understand and implement methods from latest machine learning articles.
Experience and skills in interdisciplinary research involving computer scientists and discipline scientists.
Experience with OpenCV.
Experience with parallel programming such as MPI.
Experience in high-performance computing.
Collaborative skills including the ability to work well with other laboratories and universities, supercomputer centers, and industry.
Being open-minded and ability to acquire new skill set and explore new techniques to advance sciences.
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Postdoctoral Appointee - Data Science and Learning for End-to-End Biological Programming
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Argonne National Laboratory
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Lemont, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionPosition Description:

The Data Science and Learning (DSL), Biosciences (BIO), and X-ray Science (XSD) divisions at Argonne National Laboratory invites applications for three postdoctoral researchers for developing scalable statistical inference approaches for programming biological systems. Biological programming applications (e.g., protein design, synthetic biology) are now increasingly automated through robotic instrumentation and cloud-lab platforms (e.g., Emerald Lab). Our group is particularly interested in exploiting these high throughput capabilities in expanding how biological programming is implemented in an end-to-end fashion – i.e., multiple iterations of design, build, test and learn all run autonomously through AI-enabled infrastructure.

While many biological programs seek to abstract the design-build-test-learn (DBTL) cycle, they need scalable artificial intelligence (AI) and machine learning (ML) methods for: (i) representational learning and symbolic reasoning to infer biological abstractions from existing data; (ii) active learning for incorporating current (or partial) observables into biological abstractions to yield better design of experiments; and (iii) probabilistic model checking to enable robust execution of biological programs. We propose to capture these activities as platform for designing robust end-to-end biological programs for synthetic biology applications.

We are interested in bringing together an interdisciplinary team that has expertise in AI, high performance computing, robotics and systems/structural biology to explore the combinatorics of design involved in studying self-assembly processes with intrinsically disordered proteins and targeting secure biosystems design.

The candidates will build scalable AI/ML models on data center AI systems (e.g., Cerebras CS-1 ML accelerator and Argonne's Aurora exascale supercomputer) that are tightly integrated with mechanistic modeling frameworks (e.g., MD simulation platforms as well as flux-balance analysis tools), and implement end-to-end experimental design on Argonne’s robotic platforms.

The opportunity will involve close collaborations with researchers at the University of Chicago and Northwestern University along with other national laboratories including Brookhaven, Livermore, and Berkeley.

Position Requirements:

PhD in a computer science, physical sciences or engineering or related field.
Comprehensive experience programming in one or more programming languages, such as C, C++, and Python
Experience with machine learning methods and deep learning frameworks, including tensorflow, pytorch.
Experience in heterogenous programming and GPU programming in the machine learning context is valuable.
Software development practices and techniques for computational and data-intensive science problems.
Exceptional communication skills, ability to communicate effectively with internal and external collaborators and ability to work in team environment.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred:

Experience and understanding of how synthetic biological circuits function (basic understanding of CRISPR/Cas9 mechanisms)
Experience in working with structural biology applications (especially with disordered proteins).
Experience in applied machine learning (e.g., successful projects that used ML to solve scientific problems).
Experience with high-performance computing and handling robotic platforms (e.g., Hudson Robotics).
Ability to provide project leadership.
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Postdoctoral Appointee –Portability and Optimization for GPU execution
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Argonne National Laboratory
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Lemont, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionPosition Description:

The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.

With the coming Aurora exascale supercomputer, the ALCF has an opening for a postdoctoral position in application portability and optimization for GPU execution. The successful candidate will work with Argonne science applications, and user applications, to develop performant GPU-centric execution of these applications. The candidate is expected to work with applications from a variety of science domains, including but not limited to light source data, biomedical applications, high energy physics, computational fluid dynamics, and simulations of fundamental physics and chemistry. In particular, candidates with experience in nek5000 and nekRS are particularly encouraged to apply, though experience with this software is not required.

The candidate will be expected to present his/her work at major domestic and international computing conferences, and it is expected that the work performed through this position will extend and enhance the science performed on Aurora. Past experience with scalable software and systems is desirable but not necessarily required.

Position Requirements:

PhD in computer science, physical science or engineering in a related field.
Considerable domain expertise and knowledge of leadership-class computing applications.
Knowledge of and experience with heterogenous computing, particularly GPU computing.
Experience with distributed computing is desirable.
Experience with hybrid computing architectures and nek5000, particularly nekRS, is valuable but not required.
Good communications skills and previous experience in writing technical papers and presentations at national and international symposia is expected.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
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Postdoctoral Appointee Quantum Information Science
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory seeks multiple postdoctoral candidates to participate in projects of strategic national importance in quantum information science. Postdoctoral appointees will contribute to projects that model the behavior of multiqubit systems, develop quantum algorithms for materials simulations, perform quantum network simulations, and develop network protocols, or use a full-stack approach to optimize quantum computing.

The MCS Division at Argonne National Laboratory is a leader in many areas of quantum information science, including use of high-performance computing for simulations of quantum networks and systems and development of quantum algorithms with applications in materials science and optimization. The laboratory is the lead institution of Q‑NEXT, a National Quantum Information Science Research Center awarded by the U.S. Department of Energy. The Q-NEXT Center includes nearly 100 researchers from three DOE national laboratories, ten universities, and ten leading U.S. quantum technology companies. Postdoctoral appointees will be fully integrated in the quantum information science research team in the MCS Division and have the opportunity to collaborate with leaders in the field.

Position Requirements:
Candidates should have a recent or soon to be expected doctoral degree in a computational or engineering discipline or physics. We are seeking candidates with knowledge of computing and experience in one or more of the following areas:

Simulation of open quantum systems, noise characterization, or quantum error correction;
Development of variational quantum algorithms with applications in quantum chemistry;
Simulations of quantum networks or development of quantum network protocols;
Optimization of quantum algorithms and quantum programming (e.g., using Qiskit);
High-performance computing or scientific computing;
Large-scale code development in C, C++, Python, or Go.
Positions are available with start dates in 2021, but there is flexibility in start dates for highly qualified candidates. U.S. citizenship or permanent residency is not required.

Applicants should provide contact information of three references in their application.
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Postdoctoral Appointee - DataStates
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Argonne National Laboratoy
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Lemont, IL
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DescriptionPosition Description:
The Exascale Computing Project (ECP) is working closely with large scale scientific applications that are increasingly being driven by scalable deep learning (e.g., CANDLE – Cancer Deep Learning Environment) running on the largest supercomputers in the world. In this context, we develop efficient techniques to capture, manipulate and persist large amounts of data in a consistent and resilient fashion (some of which are illustrated by the VELOC project, a low overhead checkpointing system). Currently, we are exploring a new data model centered around the notion of data states, which are intermediate representations of datasets automatically recorded into a lineage when tagged by applications with hints, constraints and persistency semantics. Such an approach enables the applications to focus on the meaning and properties of their data rather than how to access it, effectively reducing complexity while unlocking high performance and scalability for many use cases: finding and reusing previous intermediate results to explore alternatives, inspecting the evolution of datasets, verifying correctness, etc. This is especially important in the context of deep learning, where there is an acute need for advanced tools that explore many alternative DNN models and/or ensembles to improve accuracy, training speed and ability to generalize/explain a problem.

In addition to addressing such transformative challenges that arise at the intersection of HPC, big data analytics and machine learning, you will have the opportunity to work closely with many domain experts to identify the requirements and bottlenecks of real-life scientific applications that address the needs of our society over the next decades. In general, you will be part of a vibrant and diverse research community from more than 100 countries. Our lab hosts Aurora, one of the first Exascale supercomputers in the world, which you will have an opportunity to use for your experiments. In addition, you will have access to a large array of leading-edge experimental testbeds through the Joint Laboratory for System Evaluation (JLSE), which feature the latest technologies from top vendors like Intel, NVIDIA, AMD, etc.

Position Requirements:
Candidates are required to have earned (or are close to earning) a PhD degree, have a strong scientific background in distributed computing and HPC in particular:

Strong code development skills with C/C++ and Python
Familiarity with modern data management and I/O best practices
Familiarity with machine/deep learning
Candidates should also have familiarity with large scale deep learning techniques: data, model and pipeline parallelism. The ability to conduct interdisciplinary research at the intersection of HPC and deep learning and participate in teamwork and broad collaborative efforts involving other laboratories and universities, supercomputer centers and industry.
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Postdoctoral Appointee -Parallel Programming Models and Runtime Systems
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:
The Mathematics and Computer Science Division at Argonne National Laboratory seeks a postdoctoral appointee in computer science to perform research in optimizing communication runtime systems and threading systems for large distributed computing platforms. The successful candidate will work as part of a multidisciplinary research team involving computer and computational scientists, physicists, and mathematicians to enable data analysis of simulations and experiments running on DOE leadership-class supercomputing architectures and facilities.

The MCS Division at Argonne National Laboratory is a leader in the design of advanced systems software tools and applications of interest to the U.S. Department of Energy, U.S. Department of Defense and various industry partners. Appointees will participate in a collegial and stimulating environment, including access to multidisciplinary collaborations, world-class software toolkits and some of the world’s largest supercomputers including US’s first exascale supercomputer, “Aurora".

Position Requirements:
An expected/recent doctoral degree in computer science, or related discipline. Programming with C/C++ (5+ years’ experience). High performance computing systems (2+ years’ experience) MPI, OpenMP, PGAS or equivalent parallel programming models (3+ years’ experience). Programming with accelerators such as GPUs (1+ years’ experience) Experience in the aforementioned topics is more important than the field in which you received your Ph.D. Good collaborative skills, including the ability to work well with science teams, other laboratories, and universities. Good self-motivation to solve problems and grow professionally. Good written and oral communication skills.

Applicants should include contact information for three references.
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Postdoctoral Appointee - Data Science and Learning for X-ray Science
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:
This position will develop artificial intelligence (AI) and machine learning (ML) for DOE Scientific User Facilities. In particular, the project aims to develop AI/ML models that have been trained to detect specific features in X-ray detector data at the Advanced Photon Source (APS) at Argonne and Linac Coherent Light Source (LCLS) at SLAC. Because such models can run at high speeds, thanks to advances in AI streaming inference accelerators, it becomes feasible to extract salient information from in-flight data, in real time, and thus both enabling fast feedback and reducing downstream computational burden. Conduct cutting-edge research in data science and deep learning applied to scientific problems in X-ray science. Plays a key roles in developing physics-based AI/ML models, developing workflow building blocks and implement high-speed training on data center AI systems (e.g., Cerebras CS-1 ML accelerator and Argonne's Aurora exascale supercomputer), end-to-end model training workflows and explore AI accelerators for simulation applications.

Position Requirements:
Recent PhD in a computer science, physical sciences or engineering or related field.
Comprehensive experience programming in one or more programming languages, such as C, C++, and Python.
Experience with machine learning methods and deep learning frameworks, including tensorflow, pytorch.
Software development practices and techniques for computational and data-intensive science problems.
Experience with X-ray science techniques (e.g., crystallography).
Experience and skills in interdisciplinary research involving computer and material scientists.
Experience on applied machine learning (e.g., successful projects that used ML to resolve scientific problems).
Experience with high-performance computing and/or scientific workflow.
Ability to provide project leadership.
Exceptional communication skills, ability to communicate effectively with internal and external collaborators and ability to work in team environment
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
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Computational Mathematician for Numerical PDEs and Scientific Computing
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:
The Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS) in the Mathematics and Computer Science Division at Argonne is seeking a research staff member in the area of partial differential equations (PDEs), numerical software, and scientific computing. The staff member will perform basic research in mathematics and computer science and will build computational tools and methods for the solution of computational science problems on distributed and/or scalable parallel computers.


Position Requirements:
Required skills:

A Master's or Doctorate degree in computer science, mathematics, operations research, statistics, or a related discipline
Documented and comprehensive expertise in numerical analysis, computational science, or high-performance computing
Experience developing algorithms and software libraries for the scalable solution of PDEs
Potential to provide project leadership and generate outside funding for research
Desired but not required:

Experience using software libraries with science and engineering application codes
Experience with the Portable Extensible Toolkit for Scientific computation (PETSc) package
Experience with the discretization of PDEs and the solution of linear and nonlinear systems arising from PDEs
This position may be hired at either of the two levels, based on the following minimum qualifications:

RD5: Bachelor’s and 15+ years, Master’s and 12+ years, or Doctorate and 10+ years, or equivalent
RD6: Bachelor’s and 20+ years, Master’s and 15+ years, or Doctorate and 15+ years, or equivalent

The appointment level will be commensurate with experience; earlier career applicants are encouraged to apply to the associated RD2-RD3 posting (Requisition #408511) and can be found here: https://bit.ly/2B1Rxch
This position may be hired at either of the two levels, based on the following minimum qualifications:

RD2: Bachelor’s and 5+ years, or Master’s and 3+ years, or Doctorate and 0 years, or equivalent
RD3: Bachelor’s and 8+ years, Master’s and 5+ years, or Doctorate and 4+ years, or equivalent

Openings are available immediately, but there is flexibility in start dates for highly qualified candidates. More information on applied mathematics, numerical software, and statistics work at Argonne may be found at https://www.anl.gov/mcs/lans.
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Postdoctoral Appointee –Operations within the Advanced Integration Group
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Argonne National Laboratory
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Lemont, IL
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TimeMonday, 9 November 20209am - 8pm EST
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DescriptionPosition Description:
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.

The Operations Group within the ALCF supports the mission of our science users by maintaining stable and performant systems at all levels, including hardware, networking, and software. The ALCF seeks candidates for multiple aspects of research in the context of operations and performance, including the following areas:

Scheduling, including smarter scheduling of data and compute resources, and mixed simulation/MPI and AI workloads.
Scalable event sourcing and microservice/event-based processing systems as a basis for a massively scalable HPC Job Scheduler.
Disaggregated memory, with particular interest in the impact and mitigation of increased latency of memory access due to remote memory in HPC applications.
Kubernetes, especially as integrated into HPC systems
Scheduling APIs and cross-compatibility between HPC systems.

Position Requirements:
Recent PhD in related field
Comprehensive knowledge in C/C++ programming under Unix/Linux.
Comprehensive knowledge in Python programming under Unix/Linux
Comprehensive knowledge in System Programming
Considerable knowledge of parallel algorithms, I/O architectures, performance evaluation and tuning.
Considerable expertise in parallel programming, multicore systems, threading, and scientific application codes.
Considerable software development skills, written, and communication skills.
Good collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
Good self-motivation to get involved and participate in the project team`s research, and balance that against intense code development.
Candidate should have the ability to create, maintain, and support high-quality software.
Knowledge of Scala / Akka or other functional language / actor system a plus
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
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Postdoctoral Appointee – Heterogeneity in High Performance Computing
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Argonne National Laboratory
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Lemont, IL
SessionJob Fair
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TimeMonday, 9 November 20209am - 8pm EST
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DescriptionPosition Description:
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise

Heterogeneity in High Performance Computing (HPC) has never been greater, and most exascale systems deployed in the US will be accelerator-based systems. Understanding the performance of applications running on sizeable fractions of those machines will be a challenge, as the scale and complexity of those applications will be unprecedented. Nonetheless, the hybrid nature of these platforms offers a common opportunity to better understand how the applications interact with the accelerator (which is where most of the computing power will reside). Indeed, the Application Programming Interfaces (APIs) of those accelerators are well defined entry points that can be traced. CUDA or OpenCL are such APIs. By applying techniques derived from Model Centric Debugging on those APIs, it is possible to capture most of the accelerator-related context and events. Those techniques have already been leveraged in an HPC context for debugging purposes or for porting an HPC application from CUDA to OpenCL.

At Argonne, in order to meet those challenges, we’ve been developing a collection of Model Centric Tracing tools that cover the APIs that will be encountered on exascale platforms. In order to meet the scalability and performance requirements, those tracers are based on LTTng, and work on a similar manner to LTTng CLUST but with Model Centric Tracing in mind. The fine level of control in the granularity of the captured traces allows those tracers to be used for a variety of purposes:

Profiling accelerator usage of HPC applications,
Debugging accelerator usage,
Capturing traces that can be reinjected in simulation frameworks,
Extracting kernels for replay, allowing study and tuning in a sand-box,
Lightweight and transparent monitoring of platform usage.
Most of those remain to be invented or perfected and offer a lot of opportunities to develop new research. In this context, Argonne’s ALCF is looking for a post-doctoral appointee to perform research and development on the collection of tracers and their uses. Especially, with the exascale Aurora platform expected next year, integration of the tracing framework and its scalability will be an important topic. Another important objective will be to collaborate with application developers to help them leverage the possibilities offered by the tracers. The work will take place in a multi-disciplinary environment and will offer opportunities to interact with a wide range of talents from the whole spectrum of HPC research. The successful candidate will be expected to present and publish their work at major symposia and journals.

Position Requirements:
Ideal candidates are expected to have:
Recent PhD in related field
Comprehensive knowledge in C/C++ programming under Unix/Linux.
Comprehensive knowledge of one or more libraries and tools such as OpenCL, CUDA/HIP, ROCm, Level0
Comprehensive knowledge in System Programming
Considerable knowledge of parallel algorithms, I/O architectures, performance evaluation and tuning.
Considerable expertise in parallel programming, multicore systems, threading, and scientific application codes.
Considerable software development skills, written, and communication skills.
Good collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
Good self-motivation to get involved and participate in the project team`s research, and balance that against intense code development.
Candidate should have the ability to create, maintain, and support high-quality software.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Application Documents:
Cover letter (optional); uploaded as a PDF document.
Resume.
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Computational Mathematician/Statistician
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:
The Mathematics and Computer Science Division at Argonne National Laboratory seeks well-prepared candidates in applied mathematics, numerical analysis, optimization, numerical software, and statistics for multiple positions at career levels from postdoctoral researchers to senior staff researchers. The appointment level will be commensurate with experience.

The positions will address software/algorithm development and/or theory in areas of interest to the applied mathematics, numerical software, and statistics group. Candidates should have expertise in one or more of the following areas:

Nonlinear optimization, including mixed-integer, multiobjective, stochastic/robust, PDE-constrained, simulation-based, dynamics, derivative-free, and parallel/concurrent optimization
Machine learning, data analysis, applied statistics, and uncertainty quantification
Statistical inference and analysis, sampling, spectral estimation
Stochastic processes, stochastic differential equations
Data assimilation, inverse problems
High-order methods for PDEs/CFD including spectral element methods
Numerical linear algebra focusing on highly scalable preconditioners including matrix-free methods
Numerical methods for ordinary and partial differential equations including error estimators and adjoints
Automatic/algorithmic differentiation
Quantum information sciences, including quantum computing, networking, and simulation
This is an Evergreen job posting which allows candidates to apply once to be considered for multiple job requisitions; you may be asked to apply to a specific job posting in the future.

Position Requirements:
Applicants should have a master’s or doctorate degree in computer science, mathematics, operations research, statistics, or a related discipline.
Applicants should have documented and comprehensive expertise, commensurate with their experience, in computational mathematics, computational science, or numerical libraries.
Programming experience in C, Python, Fortran, or another programming language is desirable; experience with parallel computing is desirable.
Openings are available immediately, but there is flexibility in start dates for highly qualified candidates. More information on applied mathematics, numerical software, and statistics work at Argonne may be found at https://www.anl.gov/mcs/lans. Feel free to contact members of the LANS group directly by email with specific questions.

About Argonne: Argonne is a multidisciplinary science and engineering research center, where world-class researchers work alongside experts from industry, academia, and other government laboratories to address vital national challenges in clean energy, environment, technology, and national security. We pursue big, ambitious ideas that redefine what is possible. Our pursuit of groundbreaking discoveries pushes the boundaries of fundamental science, applied science, and engineering to solve complex challenges and develop useful technologies that can transform the marketplace and change the world.
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Computational Cosmology Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
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Berkeley
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DescriptionComputational Cosmology Postdoctoral Fellow - 91458
Organization: CR-Computational Research

Berkeley Lab’s Computational Cosmology Center (C3) is seeking a Postdoctoral Fellow to work on topics related to cosmological simulations and inference of cosmological parameters using simulations and observational data. Areas of interest are broad, including: development of hydrodynamical Nyx code and simulations, large-scale structure and reionization models, statistical and machine learning methods for future sky surveys, surrogate modeling of expensive cosmological simulations and others. The ideal candidate will be capable of generating their own research ideas and have good programming skills.

Berkeley Lab is a full member of several cosmology surveys, including DESI, LSST, CMB-S4 as well as additional CMB experiments. Postdoctoral researchers will have access to significant allocations on some of the world-leading supercomputers including Cori (Berkeley/NERSC), Theta (Argonne/ALCF) and Summit (Oakridge/OLCF) and will interact with researchers from UC Berkeley departments including Berkeley Center for Cosmological Physics (BCCP) and Berkeley Institute for Data Science (BIDS).

What You Will Do:
• Become an essential member of a diverse team of cosmologists, applied mathematicians and computer scientists, working together on cosmological simulations and parameter inference.
• Publish and present research results in journals and conference proceedings.

What is Required:
• PhD in Physics, Astronomy, Applied Mathematics, Computer Science or a related field.
• Strong interest in numerical simulations and/or statistical and machine learning techniques.
• Excellent oral and written communication skills.
• Ability to work productively both independently and as part of a diverse team.
• Experience with High-Performance Computing in scientific context is preferred.

For full consideration, please submit the following materials listed below with your application:
• Cover Letter
• Curriculum Vitae
• Statement describing research interests
• At least 3 letters of recommendation submitted directly to Zarija Lukic at zarija@lbl.gov.

The posting shall remain open until the position is filled, however for full consideration, please apply by December 31, 2020.

Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189685 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-13
HPC Research and Development
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Rockport Networks
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Ottawa
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DescriptionRooted in a vision to end decades of unnecessary complexity, Rockport Networks has built a highly-performant scalable switchless network, reimagining the future of networking. Working with the industry’s largest and most leading-edge customers, our mission is to Simplify the Network®

A rare opportunity for early involvement in a well-funded stealth-mode start-up, you will be surrounded by smart and hardworking coworkers who are passionate about what they do and proud of the products they build. We offer a very collaborative environment with room to grow and the opportunity to help build a company with an amazing team.

Ready to be part of something big? Let’s get started.

This position is for a new Ph.D. or post-Doc that is interested in applied R&D. You will be an active member of the Systems Engineering team, interacting with the team, other Engineering groups, and the CTO.

You are involved in system performance analysis through benchmarking, tuning libraries, and generally focused on simulation modeling, and other system software issues. You will investigate, analyze and make recommendations regarding product design and other HPC system issues. All applicants must be eligible to obtain a Secret (Level II) Security Clearance.

An individual should have demonstrated his/her flexible, adaptive, problem-solving ability.

Basic Qualifications:
• Ph.D. degree in Computer Science or Electrical Engineering
• Research background and publications in at least one area relevant to HPC software and networking such as Routing, Deadlock avoidance, Multipath performance
• Deep understanding of HPC Topologies: Torus, Dragonfly, etc.
• Proficiency with C, and/or C++
• Proficiency with one or more of Python, R, Matlab
• Ability to obtain a security clearance

Desired Skills:
• Strong communication skills - Ability to work remotely
• Knowledge of simulation tools (like NS-3) and scaling simulations using MPI
• Good organization skills to balance and prioritize work, and ability to multitask
• Familiarity with a range of High-Performance Computing (HPC) environment and related technologies
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2020-11-16
HPC Software Engineer - HPC Modelling & Simulation
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Rockport Networks
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Ottawa
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DescriptionRooted in a vision to end decades of unnecessary complexity, Rockport Networks has built a highly-performant scalable switchless network, reimagining the future of networking. Working with the industry’s largest and most leading-edge customers, our mission is to Simplify the Network®

A rare opportunity for early involvement in a well-funded stealth-mode start-up, you will be surrounded by smart and hardworking coworkers who are passionate about what they do and proud of the products they build. We offer a very collaborative environment with room to grow and the opportunity to help build a company with an amazing team.

Ready to be part of something big? Let’s get started.

This position is for a mid-career level HPC Software Engineer that will work on High-Performance Computing (HPC) Research and Development (R&D).
You will be an active member of the Systems Engineering team, interacting with the team, other Engineering groups, and product management.

You are involved in system performance analysis through benchmarking, tuning libraries, and generally focused on simulation modeling, and other system software issues.
You will investigate, analyze and make recommendations regarding product design and other HPC software issues. All applicants must be eligible to obtain a Secret (Level II) Security Clearance.

An individual should have demonstrated his/her flexible, adaptive, problem-solving ability.

Basic Qualifications:
• Bachelor's degree in STEM discipline, Computer Science or Electrical Engineering discipline preferred
• Around 5 years of experience developing discrete event simulations of an SoC, network protocols using NS-3 or similar framework
• Around 5 years of experience developing system software in heterogeneous, multi-platform environments
• Proficiency with C, and/or C++
• Experience with one or more of Python, R, Matlab
• Solid understanding of the software development process including requirements, use cases, design, coding, documentation, and testing of scalable, distributed applications in a Linux environment.
• Ability to obtain a security clearance

Desired Skills:
• Knowledge of MPI and running large scale simulations
• Familiarity with High-Performance Computing (HPC) environment and related technologies
• Experience with revision control software (SVN, Git)
• Experience with a variety of build/install tools
• Good organization skills to balance and prioritize work, and ability to multitask
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2020-11-16
Cyber Security Engineer
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Lawrence Berkeley National Laboratory
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Berkeley
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DescriptionCyber Security Engineer - 91523
Organization: SN-Scientific Networking

Are you an exceptional Security Analyst or Engineer who likes working on truly challenging problems? Are you passionate about being on the cutting edge of security technology? Do you dream of having mountains of data and telemetry at your fingertips to search for threats and protect the next generation high speed network? Do you love sharing your accomplishments and giving back to the community? If so, consider joining the Security Group (SEC) for Berkeley Lab’s Energy Sciences Network (ESnet). ESnet interconnects the U.S. national laboratory system, is widely-regarded as a technical pioneer, and is currently the fastest science network in the world.

We’re a dynamic organization, highly-motivated and focused on results. Our mission is to accelerate science by delivering unparalleled networking capabilities, tools, and innovations. As an organization, we are small enough to be agile, but large enough to offer rewarding challenges on a global scale. ESnet provides innovative networking and collaborative services to national research laboratories and other Department of Energy sites, connecting them to research and education networks worldwide, as well as the greater Internet. We envision a world in which scientific progress is completely unconstrained by the physical location of instruments, people, computational resources, or data. If you share that vision, ESnet is the right place for you.

What You Will Do:
• Integrate knowledge of network protocols, services, threats, vulnerabilities, mitigation strategies, hardware capabilities, and other information to build a security environment that reduces and mitigates risk while allowing ESnet’s open science mission to succeed.
• Serve as a core member of ESnet’s Security Group performing varying security duties including threat awareness, proactive network traffic analysis, development/management of security services, incident response, and resolution of security incidents.
• Analyze logs, alerts and diverse data sets to search for threats both in the data center and on the WAN.
• Successfully lead projects, gather broad stakeholder input, define needs, find solutions, and communicate progress regularly.
• Promote a strong security culture through technical security consulting with other ESnet staff.

What is Required:
• Bachelor’s degree and a minimum of 8 years of related experience or a Master’s degree and 6 years of related experience; or equivalent combination of education and experience.
• Experience with Intrusion Detection Systems (IDS), signature development, or network/packet level examination using tools such as tcpdump or wireshark.
• Project leadership experience, specifically in gathering requirements, developing technical project scope, finding solutions, and reporting progress and challenges.
• Strong understanding of TCP/IP networks, at multiple layers.
• Competency with Linux or BSD, including scripting and/or automation with tools such as python and ansible.
• Exceptional analysis and troubleshooting skills.
• Excellent organizational and communication skills, capable of communicating via multiple mediums and to various audiences.
• Demonstrated ability to work both independently and collaboratively in an interdisciplinary team with patience and fortitude.

Desired Qualifications:
• Demonstrated experience in system administration and/or network administration (design, implementation, and maintenance) and the ability to apply that experience to security system architecture and design.
• Enjoys threat hunting and has a curiosity to dig into logs and/or SIEM tools.
• Demonstrated experience and a desire to write technical documentation.
• Enjoys DevOps and has experience building or using CI/CD pipelines.
• Experience using “Big Data” tools for security analysis and has a data science mindset.
• Demonstrated experience working with federal security policies/guidelines and mapping to technical solutions.
• Experience hardening container deployments (e.g., via Kubernetes) or cloud infrastructure; familiarity with security tools for containers and the cloud.

For full consideration, please apply by December December 14, 2020.

Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position has the option of working remotely, but limited to individuals residing in the United States.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189724 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-16
Assistant Research Programmer / Research Programmer / Senior Research Programmer
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National Center for Supercomputing Applications - NCSA
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Urbana, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe National Center for Supercomputing Applications (NCSA) advances discovery and innovation through extreme-scale computing, science-enabling software, and the skills of our expert staff. The center is part of the flagship University of Illinois at Urbana-Champaign—a world leader in research, teaching, and public engagement—and is located in a micro-urban community that combines cultural vibrancy with affordability and quality of life.

NCSA is currently seeking one or more Assistant Research Programmer/Research Programmer/Senior Research Programmer(s) who will provide scientific and research software development and engineering in support of projects and research, which can include elements of data analysis, data ingestion and integration from heterogeneous sources, cybersecurity, web front ends, back end services that scale, as well as databases. You will interact with people in a wide range of educational, scientific, and engineering disciplines to design, develop, and support advanced software tools in areas such as civil and environmental engineering, biology, geoscience, digital humanities, library science, hazard management, medical informatics, astronomy, and computational science. Creativity, independence, a strong work ethic, as well as coordination with the project principal investigator(s) will be critical. You will also have the opportunity to represent the group at meetings, give presentations at conferences or other venues, and contribute to publications and grant proposals.

NCSA is committed to increasing the diversity of the campus community. Candidates who have experience working with a diverse range of faculty, staff, and students, and who can contribute to the climate of inclusivity are encouraged to apply.

For further information regarding our application procedures, you may email fijalkov@illinois.edu.
To apply, please create your candidate profile at jobs.illinois.edu and upload your cover letter and CV/resume by the close date, January 24, 2021. Contact information for three references must be included on the application. For full consideration, candidates must complete the Hiretouch application process by the above date.
The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.
As a qualifying federal contractor, the University of Illinois System uses E-Verify to verify employment eligibility.

The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO.

For further information regarding our application procedures, you may visit www.ncsa.illinois.edu or email NCSA-HR@illinois.edu.
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2020-11-16
Associate Project Manager / Project Manager
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National Center for Supercomputing Applications - NCSA
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Urbana, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe National Center for Supercomputing Applications (NCSA) advances discovery and innovation through extreme-scale computing, science-enabling software, and the skills of our expert staff. The center is part of the flagship University of Illinois at Urbana-Champaign—a world leader in research, teaching, and public engagement—and is located in a micro-urban community that combines cultural vibrancy with affordability and quality of life.

NCSA is currently seeking one or more Associate Project Managers and Project Mangers to provide management and coordination across assigned NCSA projects; information management, tracking, dissemination, and reporting between projects, staff, and leadership (both project PIs and NCSA management); and coordinating with the NCSA Project Management Office to find ways to align NCSA’s vast landscape of projects and activities (reducing duplication of effort and building on cross project activities where possible). Within projects these positions track goals and work to maintain/drive timelines, striving towards staff and resources being utilized efficiently and also toward achieving goals. Daily activity involves interaction with project management software tools and other business support systems, organizing, driving, and coordinating meetings (e.g. deriving agendas, tracking, communicating, and following up on action items).

NCSA encourages professional development and provides advancement and growth opportunities for employees wishing to further their careers.

Applications must be received by December 7, 2020. Apply for this position at jobs.illinois.edu. If you have not applied before, you must create your candidate profile. If you already have a profile, you will be redirected to that existing profile via email notification. To complete the application process:
Step 1) Submit the Staff Vacancy Application using the "Apply for Position" button below.
Step 2) Submit the Voluntary Self-Identification of Disability forms.
Step 3) Upload your cover letter, resume (months and years of employment must be included), and academic credentials (unofficial transcripts or diploma may be acceptable), and names/contact information for three references.

In order to be considered as a transfer candidate, you must apply for this position at the website mentioned above. Applications not submitted through this website will not be considered. For further information about this specific position, contact Wil Myers at wmmyers@illinois.edu. For questions about the application process, please contact 217-333-2137.

The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.
The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO.

For further information regarding our application procedures, you may visit www.ncsa.illinois.edu or email NCSA-HR@illinois.edu.
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2020-11-16
Computer Scientist
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SLAC National Accelerator Laboratory
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Menlo Park
SessionJob Fair
Event Type
Job Posting
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TimeMonday, 9 November 20209am - 8pm EST
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DescriptionSLAC is seeking computer scientists to formulate and carry out world-class computer science research in areas of relevance to SLAC, including but not limited to systems software for exascale computing (data management, programming models, operating and runtime systems, distributed systems, system architecture and storage) and data analytics (algorithms and tools for machine learning and very large scale data analysis). The Scientist will work as part of an interdisciplinary team of researchers and faculty, specifically collaborating with members of the computer science research group, other SLAC scientists and faculty and students in Stanford’s Computer Science Department as well as other departments in the School of Engineering.

Your specific responsibilities include:

Perform high quality experimental and/or theoretical research

Collaborate with SLAC staff and external partners

Research programs include but not limited to: systems software for exascale computing (data management, programming models, operating and runtime systems, distributed systems, system architecture and storage) and data analytics (algorithms and tools for machine learning and very large scale data analysis)

Note: The Associate Scientist position is the entry level in the Staff Scientist career path. The Associate Scientist is a 3 to 5 year fixed term research staff position. The second level of this career path, Staff Scientist is a regular continuing position. The Associate position is scheduled to be assessed after the 3 to 5 year period with the possibility of appointment to the Staff Scientist level. Appointment to the Staff Scientist level requires a review and evaluation of documented scientific achievement.

Applicants should include a cover letter, a statement of research including brief summary of accomplishments, a curriculum vitae, a list of publications, and names of three references for future letters of recommendation with the application.

Qualifications:

Ph.D. in Computer Science or a closely related discipline with 2 years of research experience in exascale computing

Demonstrated research ability.

Demonstrated effective written and verbal communication skills.

Demonstrated ability to work and communicate effectively with a diverse population.

Demonstrated ability to work independently and in a team environment.

SLAC Competencies:

Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.

Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.

Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.

Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.

Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.

Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.

Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical requirements and working conditions:

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

WORK STANDARDS:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.

Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1—General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf

Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
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2020-11-17
Visual Solutions Engineer
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Purdue University
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West Lafayette
SessionJob Fair
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TimeMonday, 9 November 20209am - 8pm EST
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DescriptionJob Summary

Research Computing is a research computing center providing advanced computing resources and services including access to leading-edge computational and data storage systems, as well as expertise in a broad range of high performance computing activities, to support the computationally intensive research of Purdue faculty and staff and research partners nationwide. The Envision Center leverages cutting-edge technologies to prove immersive interactive 3D visualizations for both research and instruction which can be deployed to mobile devices, web, and VR head mounted displays.



The Associate Visual Solutions Engineer will provide direct technical support for users of virtual and augmented reality, data visualization and media creation under the guidance of senior staff. Support is provided by helping users interact with operating systems, operational policies and procedures, commercial software, new technologies, algorithms, and material for documentation and training. This position will work collaboratively with other Research Computing staff and campus researchers as well as external industry partners to implement new technologies.


Required:

Bachelor’s Degree in computer graphics technology, engineering, computer science or related fields

Six months of formal or informal experience in providing technical support to others

In lieu of degree, consideration will be given to an equivalent combination of education and experience

Experience using high-performance computing resources to produce scientific results

Experience with the following applications: Unity/Unreal, Adobe CC, and C# and/or C++ programming

Experience with VR/AR development, simulation development, 3D asset creation, VR/AR tracking and display systems

Knowledge related to virtual and augmented reality, both scientific and geospatial data visualization, and media creation

Foundational knowledge of a wide range of hardware, scientific programming languages, scripting languages, commercial and public domain software packages, operating systems, and tools

Ability to work as part of a diverse team

Ability to communicate orally and in writing


Preferred:

Ability to present training, and prepare documentation

Additional Information:

-Purdue will not sponsor employment authorization for this position
-A background check will be required for employment in this position
-FLSA: Exempt (Not Eligible For Overtime)
R-etirement Eligibility: Defined Contribution Waiting Period
-Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
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2020-11-17
Assistant Research Programmer / Research Programmer / Senior Research Programmer
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National Center for Supercomputing Applications - NCSA
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Urbana, IL
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
W
TUT
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionThe National Center for Supercomputing Applications (NCSA) advances discovery and innovation through extreme-scale computing, science-enabling software, and the skills of our expert staff. The center is part of the flagship University of Illinois at Urbana-Champaign—a world leader in research, teaching, and public engagement—and is located in a micro-urban community that combines cultural vibrancy with affordability and quality of life.

In this role you will provide advanced applications support for campus and national users of campus and national computing platforms to allow these users to productively achieve their research goals through effective use of the computing platforms. Advanced applications support within the scope of this position spans advanced user support activities across a range of existing and developing areas. The areas include: application optimization, parallelization, scaling and algorithm development; application of artificial intelligence techniques in scientific computing; accelerator use in applications; grid-based applications; scientific visualization; ISV applications support. You will participate in the advanced research support programs of the Illinois Research IT Research Software Collaborative Service serving the University of Illinois campus, other National Science Foundation (NSF) projects, the c3.ai Digital Transformation Institute, and/or any new projects requiring advanced research support for the larger user community. Creativity, independence, a strong work ethic, as well as coordination with project principal investigator(s) will be critical. This position will represent the group at meetings, give presentations at conferences or other venues, and contribute to publications and grant proposals.

NCSA is committed to increasing the diversity of the campus community. Candidates who have experience working with a diverse range of faculty, staff, and students, and who can contribute to the climate of inclusivity are encouraged to apply.

This is a regular academic professional position at NCSA and is an annually renewable, 12/12, 100%-time appointment with regular University benefits. Salary is commensurate with experience and start date will be as soon as possible after the close date of the search. Applicants must possess required education and experience by start date of position. Interviews and hires may occur before the closing date; however, all applications received by the closing date will receive full consideration. For further information regarding our application procedures, you may email fijalkov@illinois.edu.

To apply, please create your candidate profile at jobs.illinois.edu and upload your cover letter and CV/resume by the close date, November 23, 2020. Contact information for three references must be included on the application. For full consideration, candidates must complete the Hiretouch application process by the above date. The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.
The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer. As a qualifying federal contractor, the University of Illinois System uses E-Verify to verify employment eligibility.

The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO.

For further information regarding our application procedures, you may visit www.ncsa.illinois.edu or email NCSA-HR@illinois.edu.
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2020-11-16
Postdoctoral Fellow for Advanced Optical Interconnects in Datacenters
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Lawrence Berkeley National Laboratory
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Berkeley
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionPostdoctoral Fellow for Advanced Optical Interconnects in Datacenters - 91179
Organization: CR-Computational Research

The Computer Architecture Group (CAG, https://crd.lbl.gov/departments/computer-science/cag/) is interested in the design, architecture and programming of future HPC systems to enable continued scientific research. A timely question for our group is how to prepare future HPC and data center systems given the expectation of many heterogeneous computing resources, and the continued need for higher performance efficiency to reach the next milestone after exascale computing. CAG is investigating related topics as well, such as specialized hardware accelerators, micro-architectural enhancements, new devices to replace existing CMOS transistors, emerging memories, 3D, and photonics.

These challenges have motivated the research in the Photonic Integrated Networked Energy efficient datacenter (PINE) project. The PINE architecture addresses the data movement challenge by leveraging the unique properties of photonics to steer bandwidth to where it is needed rather than over-provisioning network resources, which significantly increases energy consumption. Photonics can also be used to efficiently perform resource disaggregation which includes advanced photonic link technology, Photonic Multichip modules, and optical circuit switches to dynamically reconfigure/aggregate resources to meet the needs of diverse workloads.

We are seeking a Postdoctoral Fellow for Advanced Optical Interconnects in Datacenters to participate primarily in system-level architectural studies using models of emerging photonic components. In particular, the focus of this position is to design novel ways for resource disaggregation and network reconfiguration at every level (node to system) to best serve HPC and datacenter applications and take advantage of the unique strengths of optical switches and links. This project requires expertise in networks and computer architecture. The successful candidate will also have opportunities to participate in exciting projects in related fields, such as in micro-architectural research towards improving performance of critical HPC and datacenter applications.

We value and strive for diversity in backgrounds, experiences, and perspectives.

What You Will Do:
• Design and implement a multi-scale modeling and simulation environment to model the impact of a wide range of ideas in computer networks and architecture.
• Capture communication and computation traces from important HPC and datacenter applications using CPUs and GPUs to guide this study.
• Work closely with the developers of emerging optical components such as switches for incorporation into the simulation framework, including developers of other relevant technologies. Provide feedback and suggestions to those developers on how to improve their components to better fit HPC and data center systems.
• Use demonstrated expertise in networks and computer architecture to design a novel approach to resource disaggregation and network reconfiguration in all system levels that includes the reconfiguration algorithm, physical topology limitations, topology construction, routing, adapting to different optimization goals, impact to the applications, etc.
• Collaborate with algorithm and software developers for the purpose of making results of research easily accessible to them.
• Participate in all requested assignments, including research, preparation of funding proposals, documentation of results and reporting results to sponsors.
• Establish research directions and pursue funding opportunities.

What is Required:
• PhD in Computer Science, Applied Mathematics, Computational Science, Mechanical Engineering, Physics or a related discipline.
• Understanding of devices and their models, 3D integration, emerging memory technologies, and architecture specialization (e.g., accelerators).
• Demonstrated expertise in working with modeling and simulation methods and software tools for hardware exploration.
• Demonstrated expertise in setting research direction and priorities for future computing architectures or network architectures.
• Demonstrated expertise in Verilog, C++, Python.
• Familiarity with HPC and datacenter applications.
• Excellent verbal and written communication skills.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.

Desired Qualifications:
• Demonstrated expertise in photonic systems.
• Demonstrated expertise in HPC or datacenter applications.
• Demonstrated expertise in Scala.
• Understanding of programming models popular in HPC and datacenters.

For full consideration, please apply by October 29, 2020.

Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189793 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-17
Adversarial Machine Learning Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley
SessionJob Fair
Event Type
Job Posting
Registration Categories
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionAdversarial Machine Learning Postdoctoral Scholar - 91189
Organization: CR-Computational Research

The Data Science and Technology (DST, https://dst.lbl.gov/) department in the Computational Research Division (https://crd.lbl.gov/) has an immediate opening for a post-doctoral researcher to perform research and development in adversarial machine learning methods for complex control systems driven by reinforcement learning.

The goal of this position is to research adversarial machine learning methods that will enable safer operation of automated, adaptive deep-learning-driven cyber-physical system processes. Numerous DOE-relevant processes are becoming automated and adaptive, using machine learning techniques, such as reinforcement learning, in which the state after one run of the process automatically influences the actions taken on subsequent runs often without a human in the loop. Examples of such processes relevant to DOE today include: intelligent transportation systems, adaptive control of grid-attached equipment to stabilize power grid function, and more. This creates a vulnerability for a cyber attacker to sabotage processes through tainted training data or specially crafted inputs.

To accomplish this, the postdoc will use tools from AI to develop characterizations of dynamic systems, will develop the underlying math for adversarial manipulation of the ML models, and methods that will seek to enable detection and prevention of manipulation via attacking the learning methods. In the context of the power grid, the postdoc will examine ways in which automated power grid systems can be attacked, and will develop algorithms to determine which cyber-physical system properties should be adjusted to re-stabilize unstable operating points.

Important qualities of the position include experience in adversarial learning and deep learning, experience with control theory, and experience with software development, including experience in working in team-based development environments; and a strong interest in science, enabling scientific research, learning new scientific domains, and working closely with domain scientists.

The Data Science and Technology (https://crd.lbl.gov/departments/data-science-and-technology/) department at Berkeley Lab develops software and tools to enable scientists to address complex and large-scale computing and data analysis problems beyond what is possible today. DST engages in partnerships with scientists to understand their computing and data analysis challenges to develop leading-edge solutions. Our research areas address aspects of scientific computing that are not adequately addressed by existing frameworks and tools. Details on current and recent projects are available on http://dst.lbl.gov and http://dst.lbl.gov/security.

What You Will Do:
• Write scientific research papers suitable for submission to peer-reviewed computer science venues, such as ICML, ICLR, or NeurIPS; computer security venues such as the IEEE Symposium on Security & Privacy or the USENIX Security Symposium; or control theory venues.
• Use tools from AI to develop reduced order characterizations of high-dimensional dynamic systems.
• Develop the math underlying adversarial manipulation of the ML models and methods that will seek to enable detection and prevention of manipulation via attacking the learning methods.
• In the context of the power grid, examine ways in which automated power grid systems can be attacked, and will develop algorithms to determine which cyber-physical system properties should be adjusted to re-stabilize unstable operating points.
• Work with research staff in the Berkeley Lab Data Science & Technology Department and Grid Integration Group, with researchers and application scientists throughout the Berkeley Lab and the DOE Office of Science community, and with faculty and student collaborators from universities throughout the world.

What is Required:
• Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, or a related technical field is required.
• An established track record of peer-reviewed publications in deep learning and/or adversarial machine learning.
• Experience with key tools used in scientific data discovery, such as Jupyter notebooks, Spark, PyML, TensorFlow, and/or related software systems.
• Proven experience writing software and proficiency and experience in programming languages such as C/C++ and/or Python.
• Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team and contribute to an active intellectual environment.
• Excellent written and verbal skills.
• Keen interest in solving science challenges.

Desired Qualifications:
• Experience in control theory and/or signal processing.
• Experience with electric power systems is a plus.
• Proficiency with UNIX tools and computer systems.

Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189792 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-17
NESAP for Data Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
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Berkeley
SessionJob Fair
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TimeMonday, 9 November 20209am - 8pm EST
Location
DescriptionNESAP for Data Postdoctoral Fellow - 91231
Organization: NE-NERSC

To address today’s most urgent research questions, scientists are collecting exponentially more data, managing it with automated or interactive software pipelines, and analyzing it using algorithms of ever-increasing computational intensity. In order to support these scientists, the National Energy Research Scientific Computing (NERSC https://www.nersc.gov/) Center at Berkeley Lab (https://www.nersc.gov/https://www.lbl.gov/4 times the performance of NERSC’s current supercomputer “Cori.” Perlmutter, NERSC’s first GPU+CPU supercomputer, has a design optimized for science, but now NERSC faces the challenge of helping its users do their science optimally with Perlmutter. That is where you come in.

We are looking for highly motivated postdocs to join the NERSC Exascale Application Program (NESAP, https://www.nersc.gov/research-and-development/nesap/) for Data (N4D). N4D addresses data-intensive science pipelines that process massive datasets from facilities like synchrotron light sources, telescopes, microscopes, particle accelerators, or genome sequencers. The impact from accelerating the analysis of data from these instruments cannot be understated: predicting materials for new, efficient solar cells and batteries, understanding fundamental biological processes, unlocking the secrets of the Universe. Our vision is seamless integration and flow of data between scientific facilities and energy-efficient supercomputers to enable discoveries from big team science. Learn more about the kind of science supported by N4D here (https://www.nersc.gov/research-and-development/nesap/nesap-projects/#n4d).

As a NESAP postdoc you will:
• Collaborate with an experimental or observational data science team to ensure that their code, workflows, and software infrastructure make the best use of Perlmutter possible.
• Be part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of high-performance computing (HPC).
• Carry out code transition efforts in collaboration with a project’s PI and team members, supported by NERSC and vendor staff.
• Collaborate with and support other postdocs across all three NESAP program areas (simulation, data, and learning). Learn about current and previous NESAP postdocs here (https://www.nersc.gov/research-and-development/nesap/nesap-postdocs/).
• Have the opportunity to push the boundaries of science by assisting in the development of new methods and implementation of novel algorithms on state-of-the-art computational resources.

NERSC’s Perlmutter system has both a GPU and CPU partition. The GPU partition has 1500 nodes each with 4 NVIDIA A100 (Ampere) Tensor Core GPUs, one AMD Milan CPU, and 256 gigabytes of memory. The CPU partition has roughly 3000 CPU nodes each with 2 AMD Milan CPUs and 512 gigabytes of memory. Perlmutter also features a new Cray system interconnect codenamed Slingshot that is designed for data-centric computing, and a new 35-petabyte all-flash Lustre scratch file system designed to move data at a rate of more than 5 terabytes per second. More details on Perlmutter are available here (https://www.nersc.gov/systems/perlmutter/).

Successful Candidates are expected to:
• Work with NERSC staff, code teams, and HPC vendor partners to transition and optimize codes, pipelines, and workflows for Perlmutter that process or analyze data from scientific facilities, balancing performance, productivity, and portability.
• Conduct profiling, scaling, parallelization (GPU and/or CPU), memory bandwidth, and I/O performance analyses to guide development of these codes, pipelines, and workflows; capitalize on NERSC’s combined HPC and Data ecosystems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new findings are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participate in postdoctoral career development, science enrichment, and networking opportunities within the Computing Sciences Area and broader Berkeley Lab community.
• Travel to sites at other Labs, universities, and vendor facilities in order to collaborate with teams, experts, and vendor staff.

What is Required:
• Ph.D. in Computational Science, Data Science, Computer Science, Applied Mathematics, or a science domain area with a computationally-oriented research focus.
• Experience, knowledge, or willingness to learn about code, pipeline, or workflow development for experimental/observational science and HPC.
• Ability to work productively either independently or as part of an interdisciplinary team, balancing objectives involving both research and development.
• Effective communication and interpersonal skills.

Desired Qualifications:
• Experience with development and performance optimization of scientific software using modern best practices (revision control with Git, continuous integration and deployment, etc).
• Experience with at least one high-level language (HLL) such as Python, Julia, or R and corresponding data analytics ecosystem. Bonus: experience with CPU/GPU parallelism.
• Interest in one or more of the following areas: container technologies (e.g. Docker), Jupyter notebooks, complex workflows and pipelines, data analytics in HPC.

To be considered applications must include:
• A Cover Letter: Include a cover letter introducing yourself, your application materials, and describing your interest in the program. How did you hear about NESAP for Data and why do you want to be a part of it?
• Curriculum Vitae/Resume: Either an academic CV or a resume is acceptable. Please be sure to include these particularly relevant facts: technical skills, interests, and research/engineering activities relevant to the position.
• List of Publications: A list of publications is required in order to show evidence that you have experience with the academic/conference publishing process. If there’s a particular paper you would like us to look at, please highlight that in the list (please don’t attach the paper itself). Links to software projects and public code repositories in your publication list are also very welcome!
• 3 References: Provide contact information for three professional references with whom we may communicate regarding your work and your application. Please make sure they agree to provide a reference for you.

Notes:
• This is a full-time 1 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189785 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-17
HPC Numerical Algorithms Postdoctoral Researcher
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Lawrence Berkeley National Laboratory
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Berkeley
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DescriptionHPC Numerical Algorithms Postdoctoral Researcher - 91276
Organization: CR-Computational Research

Berkeley Lab’s Computational Research Division (https://crd.lbl.gov/) has an opening for a HPC Numerical Algorithms Postdoctoral Researcher to work on high-performance numerical algorithm development. The Applied Numerical Algorithms Group (ANAG) develops advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive discretizations of partial differential equations in complex geometries, targeting DOE-mission applications including biological systems, electro-chemical and electro-magnetic systems, climate, and fusion energy.

We are seeking strong software and applied math candidates that can help develop the next generation of finite volume numerical algorithms, which must be both highly accurate and fast on multi-core and GPU architectures. You will join an interdisciplinary team of applied mathematicians and software engineers to develop new algorithms for next-generation high performance computing (HPC) computational science simulations.

We value and strive for diversity in backgrounds, experiences, and perspectives.

What You Will Do:
• Analyze accuracy and stability of numerical algorithms and linear algebra solvers.
• Understand C++ software design and development for high-performance computer architectures.
• Contribute to publications and participate in conferences and meetings.
• Contribute in a multidisciplinary team environment which includes mathematicians, software developers, and computational scientists.

What is Required:
• Ph.D. in Applied Mathematics, Computer Science, or Physical Sciences/Engineering within the last 3 years, with a strong research background in at least some of applied mathematics, computational methods, and scientific computing.
• General experience in developing and using numerical software for partial differential equations.
• Some experience in C/C++ programming.
• Experience developing mathematical and software models for science applications is desired.
• Understanding of computer systems architecture and their contributions to the overall system performance is also desirable.

For full consideration, please submit a CV. The posting shall remain open until the position is filled.

Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189784 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-17
Advanced Quantum Testbed Project Scientist
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Lawrence Berkeley National Laboratory
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Berkeley
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DescriptionAdvanced Quantum Testbed Project Scientist - 91459
Organization: AC-Computing

Berkeley Lab’s Computational Research Division (CRD) has an Advanced Quantum Testbed Research Scientist position to join its Advanced Quantum Testbed (AQT) effort.

The AQT program is focused on constructing, enhancing, operating, and maintaining an open, fully accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational questions in quantum information science, and to guide near-term hardware and algorithm co-design.

What You Will Do:
• Specialized research in conception and execution of quantum algorithms on superconducting hardware.
• Design and conduct state-of-the-art experiments such as superconducting quantum processors and/or theory in quantum information science.
• Troubleshoot noise processes on quantum hardware and design and implement mitigation strategies.
• Deploy high-speed, low-latency data acquisition hardware.
• Validate, analyze, and interpret experimental data.
• Develop algorithms for near-term hardware based on critical evaluation of the literature, and original thinking.
• Design quantum simulations for physics, chemistry, and computer science.
• Design, fabricate & test high-speed cryogenic and room temperature classical control electronics.
• Firmware development & programing tools to interface with FPGA-based electronics.
• Quantum verification and validation.
• Shallow circuit algorithm development and optimization.

Additional Responsibilities as needed:
• Fabricate, characterize, and test superconducting circuits.
• Supervise group post-doctoral candidates and graduate students.

What is Required:
• Ph.D. degree in physics, applied physics, electrical engineering, or a related field.
Five or more years relevant experience.
• Knowledge of quantum information science related to one or more of the responsibilities/research areas listed above.
• Independently plan and complete projects.
• Relevant publication record and demonstration of proficient written and oral presentation of scientific results.
• Ability to direct the work of technical support staff or students.

Desired Qualifications:
• Ability to prepare periodic updates (written and oral) for internal and external reviews or reports.
• Experience operating and maintaining a dilution refrigerator.
• Experience using Python based programming tools.

Notes:
• This is a full-time 1 year, term appointment that may be renewed to a maximum of five years.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=189783 and follow the on-line instructions to complete the application process.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https://www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
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2020-11-17
Postdoctoral Appointee –Data Management for AI
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Argonne National Laboratory
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Lemont, IL
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DescriptionPosition Description:

The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.

The ALCF has an opening for a postdoctoral position in data management targeting at scientific simulation and AI applications. The successful candidate will join the Data Science group, a vibrant multi-disciplinary team of scientists and High Performance Computing (HPC) engineers. In the Data Science group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference, the ALCF is studying the application of these techniques to a variety of our science applications, including but not limited to: Computational Chemistry, Plasma Physics, High Energy Physics, analysis of Light Source data such as that from the Advanced Photon Source, Biology, Astronomy, and other science disciplines. The chosen applicant will have a rare chance to work on exascale supercomputing systems and novel AI hardware to help solve significant real-world problems using machine learning and deep learning. ALCF researchers work in a highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies, to solve some of the world’s largest and most complex problems in science and engineering.

We invite you to apply for this postdoctoral position to work on development and scaling of the I/O software stack on supercomputing systems. You will provide technology vision, research, development and support to efficiently read, write and manage large-scale datasets being produced by computational simulations, experiments and observations. You will develop and implement strategies to optimize data management and movement to exploit the underlying system architecture and for application needs. You will work in a highly collaborative environment involving science application teams, academia, industry as well as other national labs and agencies.

Position Requirements:

A recent PhD in a physical science, computer science, or engineering or related field.
Comprehensive experience programming in one or more programming languages such as C, C++, and Python
Experience with machine learning methods and deep learning frameworks, including Tensorflow, Pytorch.
Experience in heterogenous programming and GPU programming in the machine learning context is valuable.
Experience with MPI and parallel I/O such as MPI-I/O and with portable data formats such as HDF5 on systems using Lustre and GPFS filesystem.
Experience in I/O profiling and performance analysis.
Ability to create, maintain, and support high-quality software is essential. The successful candidate will be expected to work with and contribute to domain-specific software and models. Experience with version control software such as git is essential.
Good communications skills and previous experience in writing technical papers and presentations at national and international symposia is expected.

Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.
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Postdoc position in High Performance Computing system prototyping and experimentation
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University of California, Davis
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Davis
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DescriptionThis position seeks key innovations in scalable high performance computing systems through a new generation of optical interconnect technologies including silicon photonics and network-on-chip. The current project team is investigating new scalable computing systems, multi-core processor architectures, network-on-chip, nano-photonic/nano-electronic interconnect technologies, prototype system experiments, and hierarchical system architectures with optical-interconnects scaling to exascale. The candidate is expected to conduct computing system integration, FPGA programming, and experimental studies, and other relevant tasks for the team project..
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2020-11-20
Postdoc position in High Performance Computing system architectures, analyses, and benchmarking
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University of California, Davis
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Davis
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DescriptionThis position investigates scalable high performance computing system architectures through a new generation of optical interconnect technologies including silicon photonics and network-on-chip. The current project team is investigating new scalable computing systems, multi-core processor architectures, network-on-chip, nano-photonic/nano-electronic interconnect technologies, prototype system experiments, and hierarchical system architectures with optical-interconnects scaling to exascale. The candidate is expected to conduct computing system architecture design, throughput simulations, workload analysis, and benchmarking.
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2020-11-20
Postdoctoral Researcher - Center for Artificial Intelligence Innovation
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National Center for Supercomputing Applications - NCSA
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Urbana
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TimeMonday, 9 November 20209am - 8pm EST
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DescriptionThe NCSA Center for Artificial Intelligence Innovation and the High Energy Physics Group in the Department of Physics at the University of Illinois at Urbana-Champaign (UIUC) invite applications for the position of postdoctoral researcher. The selected candidate will be mentored by an interdisciplinary team of researchers—Eliu Huerta, Daniel S. Katz, Vlad Kindratenko, Mark Neubauer, and Zhizhen Zhao—at the interface of physics, artificial intelligence (AI), computer and information science, open science, and scientific software and data to lead the definition and implementation of findable, accessible, interoperable, and reusable (FAIR) principles to artificial AI models and data in the context of high energy physics.

FAIR4HEP is a joint DOE-funded venture between UIUC, MIT, UMN, and UCSD. The postdoctoral researcher is encouraged to collaborate with all partner institutions.
At the University of Illinois the selected candidate will lead research activities towards making data and models available, around the definition and implementation of FAIR principles for data and models, and the combination of accelerated computing and scientific visualization to identify novel connections between data and models. Available resources for this work include the Hardware Accelerated Learning deep learning cluster, the Delta supercomputer, and multiple visualization teams at NCSA. The selected candidate will be encouraged to participate in internship opportunities offered by Fortune 50® companies affiliated with the NCSA Industry program.

The University of Illinois is a member of the ATLAS experiment at CERN's Large Hadron Collider. Our ATLAS group contributed to the Higgs boson discovery and is actively pursuing discovery of new physics through analysis of LHC data. This pursuit includes the development and application of AI-based tools that seek to maximize our discovery potential. The successful candidate is expected to strengthen our efforts by leading the implementation of FAIR principles for HEP data and AI models that connect strongly to our ATLAS analysis efforts and broadly impact the potential for discovery in particle physics.
Ambitious applicants from diverse backgrounds and minorities are particularly encouraged to apply.

A PhD in physics, statistics, computer science, machine learning, data science, or related fields is required. Prior experience in software development and machine learning is advantageous, but not essential. Submit your application to ai@ncsa.illinois.edu. Complete applications must include:
• Cover letter (no more than 1 page);
• CV (1-2 pages recommended, but longer accepted);
• Statement of research interests (no more than 2 pages);
• List of publications;
• Three reference letters.

The deadline for the receipt of the application is December 1, 2020, but the search will continue until the position is filled.

The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer. The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit Policy on Consideration of Sexual Misconduct in Prior Employment. As a qualifying federal contractor, the University of Illinois System uses E-Verify to verify employment eligibility.

The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO.

For further information regarding our application procedures, you may visit www.ncsa.illinois.edu or email NCSA-HR@illinois.edu.
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