Computer Science Postdoctoral Scholar

Lawrence Berkeley National Lab’s (LBNL ) Applied Mathematics and Computational Research Division 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.

 

What You Will Do:

• Develop novel parallel discrete event simulation techniques, algorithms, and runtimes targeting high performance computing (HPC) platforms.
• Analyze the performance of simulations, identify key bottlenecks, and understand parallel scaling behavior for various application workloads, including computer hardware simulation, transportation systems, disease modeling, and geophysical systems.
• Work with application domain and high performance computing experts to optimize parallel execution performance on HPC platforms.
• Publish and present research results in journals and conferences in the areas of parallel simulation and computational science (domain science and engineering).
• Participate in requested assignments, including preparation of grant proposals, documentation of results, and reporting results to sponsors.

 

What 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.

 

Desired Qualifications:

• 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.

 

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

 

Notes:

• This is a full-time 2 years, 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 of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• 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 may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.

 

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

 

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) 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.

 

Equal Opportunity and IDEA Information Links:

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