Computer Science Postdoctoral Scholar
Lawrence Berkeley National Laboratory
Berkeley, CA 94720
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening for a Computer Science Postdoctoral Scholar to join the team.
In this exciting role, you will conduct fundamental and applied research in parallel discrete event simulation, load balancing, task scheduling, and reversible computation.
RequirementsWhat is Required:
• PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Computer Engineering or a related technical field.
• Demonstrated expertise in parallel computing and application performance analysis.
• Proficiency in modern C++ (C++11 or later).
• Ability to reason about the correctness and performance of asynchronous, parallel programs.
• Familiarity with performance optimization libraries, tools, and techniques.
• Familiarity with task-based or discrete event programming models.
• Familiarity with software engineering tools such as make and git.
• Ability to publish in top journals and conferences.
• Excellent verbal and written communication skills.
• Familiarity with parallel discrete event simulation (PDES) techniques.
• Experience with development and performance analysis of parallel simulations.
• Knowledge of load balancing and task scheduling algorithms.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.