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||Lawrence Berkeley National Laboratory
||Berkeley, CA United States
|| Computers, Software
NERSC Exascale Science Applications Postdoctoral Fellow (NESAP) |
NERSC Exascale Science Applications Postdoctoral Fellow (NESAP) - 85287
Berkeley Lab’s NERSC Division (http://www.nersc.gov/) has an opening for an Exascale Science Applications Postdoctoral Fellow (NESAP). We are looking for highly motivated postdocs to join the NERSC ExaScale Application Readiness Program (NESAP, http://www.nersc.gov/users/computational-systems/cori/nesap/), funded by the US Department of Energy Office of Science (https://www.energy.gov/offices). Fellows will be working in multidisciplinary teams composed of computer, computational, and domain scientists that will transition codes to the Cori system and produce mission-relevant science that truly pushes the limits of high-end computing. Candidates will carry out code transition and simulation efforts in collaboration with project PI and team members and with NERSC and vendor staff. Specific duties may include analysis and optimization of parallel applications; performance engineering; development of improved algorithms and implementations for manycore systems; and research in a specific computational application domain. Fellows will be expected to disseminate results of research activities through refereed publications and conference presentations and to ensure that new methods are suitably documented for other members of the extraordinary postdoc team as well as for NERSC staff, vendors, and NERSC users.
The Challenge: To enable NERSC HPC workload to scale on energy-efficient supercomputers. In search of answers to some of the most important scientific questions of our time, scientists use computationally intensive algorithms that push beyond the limits of scale and performance on traditional HPC systems. To meet the demands of these science applications, NERSC has deployed Cori, a 30 petaflop Cray XC40 supercomputer (named in honor of Gerty Cori, the first American woman to win a Nobel Prize in science). Cori was designed for large-scale simulations, modeling, and data analysis. It is based in part on the new energy-efficient Intel Xeon Phi/Knights Landing (KNL) many-core processor. You will carry out code transition efforts in collaboration with project PI and team members and with the support of NERSC and vendor staff.
What You Will Do:
• Work with NERSC staff and code teams to transition and optimize data-intensive science codes to the KNL architecture; conduct profiling and scaling studies as well as vectorization and memory bandwidth analyses for these code.
• Disseminate results of research activities through refereed publications and conference presentations. Ensure that new methods are suitably documented for the wider science community, NERSC staff, vendors, and other NERSC users.
• May involve travel to sites at other labs and universities.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area will also be encouraged.
The posting shall remain open until the position is filled.
• Please do include a cover letter introducing yourself and your application.
• Either a Curriculum Vitae or Resume are acceptable.
• In your cover letter or CV/Resume please do call out any and all technical skills you have that are relevant to this position.
• A list of publications is encouraged.
• Provide contact information for three references whom we can contact regarding your application.
• 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 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• Full-time, M-F, exempt (monthly paid) from overtime pay.
• 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://22.214.171.124/counter.php?id=135620 and follow the on-line instructions to complete the application process.
Berkeley Lab (LBNL,http://www.lbl.gov/) 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 (http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf). Click here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) to view the poster: "Equal Employment Opportunity is the Law".
Qualifications & Requirements
What is Required:
• Ph.D. in Computer Science, Computational Science, Applied Mathematics, or a science domain area with a computationally-oriented research focus.
• Research experience and knowledge in computing and/or code development ideally for HPC.
• Demonstrated communication and interpersonal skills.
• Experience in applied mathematics, algorithm design, or scientific computing.
• Ability to work productively both independently and as part of an interdisciplinary team balancing divergent objectives involving research and code development.
• Experience in the development and application of modern HPC applications with MPI, OpenMP or other parallel libraries
Additional Desired Qualifications:
• Experience with the development and performance optimization of scientific software in an HPC context.
• Experience with many-core and parallel computer architectures, threading and vectorization.
• Contributions in the form of publications or collaboration on open source software projects.
Lawrence Berkeley National Laboratory |
Lawrence Berkeley National Laboratory (LBNL), commonly referred to as Berkeley Lab, is a United States national laboratory located in the Berkeley Hills near Berkeley, California that conducts scientific research on behalf of the United States Department of Energy (DOE). It is managed and operated by the University of California. The laboratory overlooks the University of California, Berkeley's main campus.