BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210402T160553Z LOCATION: DTSTART;TZID=America/New_York:20201109T090000 DTEND;TZID=America/New_York:20201109T200000 UID:submissions.supercomputing.org_SC20_sess280_job153@linklings.com SUMMARY:NESAP for Data Postdoctoral Fellow DESCRIPTION:Job Posting\n\nNESAP for Data Postdoctoral Fellow\n\n\n\nNESAP for Data Postdoctoral Fellow - 91231\nOrganization: NE-NERSC\n\nTo addres s today’s most urgent research questions, scientists are collecting expone ntially more data, managing it with automated or interactive software pipe lines, and analyzing it using algorithms of ever-increasing computational intensity. In order to support these scientists, the National Energy Resea rch 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 s upercomputer, 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.\n\nWe are looking for highly motivated postdoc s to join the NERSC Exascale Application Program (NESAP, https://www.nersc .gov/research-and-development/nesap/) for Data (N4D). N4D addresses data-i ntensive science pipelines that process massive datasets from facilities l ike synchrotron light sources, telescopes, microscopes, particle accelerat ors, or genome sequencers. The impact from accelerating the analysis of da ta from these instruments cannot be understated: predicting materials for new, efficient solar cells and batteries, understanding fundamental biolog ical processes, unlocking the secrets of the Universe. Our vision is seaml ess integration and flow of data between scientific facilities and energy- efficient supercomputers to enable discoveries from big team science. Lear n more about the kind of science supported by N4D here (https://www.nersc. gov/research-and-development/nesap/nesap-projects/#n4d).\n\nAs a NESAP pos tdoc you will:\n• Collaborate with an experimental or observational data s cience team to ensure that their code, workflows, and software infrastruct ure make the best use of Perlmutter possible.\n• Be part of a multidiscipl inary team composed of computational and domain scientists working togethe r to transition and optimize codes to the Perlmutter system and produce mi ssion-relevant science that pushes the limits of high-performance computin g (HPC).\n• Carry out code transition efforts in collaboration with a proj ect’s PI and team members, supported by NERSC and vendor staff.\n• Collabo rate with and support other postdocs across all three NESAP program areas (simulation, data, and learning). Learn about current and previous NESAP p ostdocs here (https://www.nersc.gov/research-and-development/nesap/nesap-p ostdocs/).\n• Have the opportunity to push the boundaries of science by as sisting in the development of new methods and implementation of novel algo rithms on state-of-the-art computational resources.\n\nNERSC’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 featur es a new Cray system interconnect codenamed Slingshot that is designed for data-centric computing, and a new 35-petabyte all-flash Lustre scratch fi le system designed to move data at a rate of more than 5 terabytes per sec ond. More details on Perlmutter are available here (https://www.nersc.gov/ systems/perlmutter/).\n\nSuccessful Candidates are expected to:\n• Work wi th NERSC staff, code teams, and HPC vendor partners to transition and opti mize codes, pipelines, and workflows for Perlmutter that process or analyz e data from scientific facilities, balancing performance, productivity, an d portability.\n• 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 H PC and Data ecosystems.\n• Disseminate results of research activities thro ugh refereed publications, reports, and conference presentations. Ensure t hat new findings are documented for the broader community, NERSC staff, ve ndors, and NERSC users.\n• Participate in postdoctoral career development, science enrichment, and networking opportunities within the Computing Sci ences Area and broader Berkeley Lab community.\n• Travel to sites at other Labs, universities, and vendor facilities in order to collaborate with te ams, experts, and vendor staff.\n\nWhat is Required:\n• Ph.D. in Computati onal Science, Data Science, Computer Science, Applied Mathematics, or a sc ience domain area with a computationally-oriented research focus.\n• Exper ience, knowledge, or willingness to learn about code, pipeline, or workflo w development for experimental/observational science and HPC.\n• Ability t o work productively either independently or as part of an interdisciplinar y team, balancing objectives involving both research and development.\n• E ffective communication and interpersonal skills.\n\nDesired Qualifications :\n• Experience with development and performance optimization of scientifi c software using modern best practices (revision control with Git, continu ous integration and deployment, etc).\n• Experience with at least one high -level language (HLL) such as Python, Julia, or R and corresponding data a nalytics ecosystem. Bonus: experience with CPU/GPU parallelism.\n• Interes t in one or more of the following areas: container technologies (e.g. Dock er), Jupyter notebooks, complex workflows and pipelines, data analytics in HPC.\n\nTo be considered applications must include:\n• A Cover Letter: In clude 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?\n• 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 rese arch/engineering activities relevant to the position.\n• List of Publicati ons: 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 proj ects and public code repositories in your publication list are also very w elcome!\n• 3 References: Provide contact information for three professiona l references with whom we may communicate regarding your work and your app lication. Please make sure they agree to provide a reference for you.\n\nN otes:\n• This is a full-time 1 year, postdoctoral appointment with the pos sibility of renewal based upon satisfactory job performance, continuing av ailability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral position s depends on years of experience post-degree.\n• This position is represen ted by a union for collective bargaining purposes.\n• Salary will be prede termined based on postdoctoral step rates.\n• Work will be primarily perfo rmed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.\n\ nHow To Apply\nApply directly online at http://50.73.55.13/counter.php?id= 189785 and follow the on-line instructions to complete the application pro cess.\n\nEqual Employment Opportunity: Berkeley Lab is an Equal Opportunit y/Affirmative Action Employer. All qualified applicants will receive consi deration for employment without regard to race, color, religion, sex, sexu al orientation, gender identity, national origin, disability, age, or prot ected veteran status. Berkeley Lab is in compliance with the Pay Transpare ncy Nondiscrimination Provision under 41 CFR 60-1.4. Click here (https:// www.dol.gov/agencies/ofccp/posters) to view the poster and supplement: "Eq ual Employment Opportunity is the Law."\n\nLawrence Berkeley National Labo ratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers .\n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pass, Tuto rial Reg Pass, Exhibits Reg Pass END:VEVENT END:VCALENDAR