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UID:submissions.supercomputing.org_SC20_sess280_job107@linklings.com
SUMMARY:Research Scientist I
DESCRIPTION:Job Posting\n\nResearch Scientist I\n\n\n\nThe University of T
 ennessee, Knoxville’s Innovative Computing Laboratory (ICL) is seeking ful
 l-time Research Scientist I candidates in one of several areas of high-per
 formance computing (HPC), including: (1) Distributed Computing; (2) Perfor
 mance Measurement and Modeling; and (3) Numerical Linear Algebra. ICL is d
 irected by Jack Dongarra, Distinguished Professor of Electrical Engineerin
 g and Computer Science at the University of Tennessee, Knoxville.\n\nProsp
 ective 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 l
 arge, distributed-memory hybrid machines; (2) to extend and harden the per
 formance monitoring capabilities of ICL’s software for new and advanced ha
 rdware 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.\n\nProspective rese
 archers will analyze, interpret results for sponsors, coauthor papers to d
 ocument research findings, present the team’s work at conferences and work
 shops, and help lead students and other team members in the lab’s multiple
  research and development efforts, which are supported by the U.S. Departm
 ent of Energy’s Exascale Computing Project and the National Science Founda
 tion.\n\nRequired Education:\nPhD in Computer Science, a computational sci
 ence, 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.\n\nRequired Experience:\nA 
 successful candidate will have an extensive experience in one or more of t
 he following areas: \n(1)	Distributed Computing – HPC, resilience, program
 ming models, and network and parallel algorithms.\n(2)	Performance Measure
 ment and Modeling – technical experience in system software, parallel comp
 uting, 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 de
 veloping large software systems is a plus.\n(3)	Numerical Linear Algebra –
  applied mathematics; technical experience in parallel computing, distribu
 ted computing, and multithreading; experience with numerical software libr
 aries; and experience with GPU computing and mathematical software.\n\nReq
 uired Job Skills:\nThe ideal candidate will have extensive experience with
  designing, conducting, and analyzing research projects including programm
 ing techniques; strong system programming abilities; high proficiency in C
 /C++; a basic understanding of Fortran; familiarity with numerical softwar
 e, modern MPI, OpenMP, and CUDA; excellent communication skills; and a pro
 ven publication record.\n\nFor consideration, submit CV and contact inform
 ation for three references.\n\nRegistration Category: Tech Program Reg Pas
 s, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass
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