Computational Research Scientist - Parallel Algorithms and Applications

The Computational Research Division at Berkeley Lab is seeking Computational Research Scientists to conduct fundamental and applied research in the areas of high performance computing, parallel computing, graph algorithms, computational biology, and sparse matrix algorithms. The successful candidates will join the Performance and Algorithms (PAR) group that is funded to work on high-impact projects on Exascale computing, Roofline and performance analysis, computational biology, and computations on graphs and sparse matrices. 

What You Will Do:

• Design and implement parallel combinatorial algorithms such as graph and sparse matrix algorithms. 

• Collaborate with biologists to identify computational problems and map them to distributed-memory computing platforms.

• Publish and present research results in high-impact journals and top conferences in the areas of computational biology, high-performance computing, parallel computing, and scientific computing.

• Support supervision of postdocs and students working in sparse matrix algorithms, high-performance computational biology, and combinatorial algorithms area.

• Writing research proposals and reports.

• Engagement with broader scientific community, societies, committees, and councils.

What is Required:

• PhD in Computer Science or a related field.

• Experience in designing and implementing computational biology, graph analytics, and sparse matrix software.

• Demonstrated ability to design and implement graph analysis and sparse matrix algorithms, on shared- and distributed-memory parallel platforms.

• Proficiency in C and/or C++ programming language. 

• Proficiency in one or more of the parallel libraries/languages: MPI, OpenMP, UPC, UPC/UPC++.

• Demonstrated ability to publish in top journals and conferences.

Desired Qualifications:

• Experience with software engineering tools: make, cmake, revision control systems (e.g, git).

• One or more of the popular scripting languages: Python, Julia, or R.

• Postdoctoral work in Computer Science or related areas that required computation.

• Ability to write research proposals independently and as part of a diverse team.

• Signs of scientific leadership potential via program committee membership and refereeing. 

• Record of outreach and educational activities related to science and technology.    

The posting shall remain open until the position is filled.

Notes:

• This is a full-time 2-year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.

• 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.

Learn About Us: 

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.

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.

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 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.