Computational Research Scientist

at  Lawrence Berkeley National Laboratory

The Scalable Solvers Group (SSG) in the Applied Mathematics and Computational Research Division (AMCRD) at Lawrence Berkeley National Laboratory (LBNL) seeks a Career-Track Research Scientist specializing in multiscale mathematical analysis and numerical methods for quantum many-body problems. The SSG focuses on scalable numerical algorithms and high-performance computing for scientific discovery.
This position will develop new reduced order and quantum embedding models and algorithms and implement high-performance solutions for quantum many-body problems. The Research Scientist will collaborate with a multidisciplinary team of mathematicians, computer scientists, and domain scientists on fast simulation tools and machine learning techniques for DOE science problems. This is an exciting opportunity to pursue independent research.

DESIRED QUALIFICATIONS:

• Performance optimization for scientific software.
• Machine learning expertise.
• GPU programming with CUDA proficiency.

LEARN ABOUT US:

Berkeley Lab is a U.S. Department of Energy national laboratory managed by the University of California and designated a Federally Funded Research and Development Center. Located in the San Francisco Bay Area, we have a close relationship with UC Berkeley, as well as robust partnerships with other academic institutions and industries, including those in Silicon Valley. The Laboratory conducts world-class research that supports clean energy, a healthy planet, and solution-inspired discovery science. Berkeley Lab is defined by our deeply felt sense of stewardship, which we describe as a commitment to taking care of the Laboratory’s research, people, and resources that are entrusted to us. Our values of team science, innovation, service, trust, and respect knit us together as a community. We practice these values and prioritize our principles of inclusion, diversity, equity, and accountability (IDEA) to build highly effective teams that produce world-class science and technology and where all individuals, regardless of their backgrounds, disciplines, and experiences, can thrive.
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- .
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.
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WHAT YOU WILL DO:

• Develop efficient numerical methods for nonlinear integro-differential equations in quantum many-body systems.
• Create reduced order models and coarse graining methods for quantum many-body problems.
• Develop reduced modeling methodologies for non-Markovian stochastic dynamics and conduct systematic analysis.
• Create rigorous and efficient quantum embedding methods.
• Perform mathematical analysis of new approximation schemes and establish error bounds.
• Use machine learning to simplify the simulation of quantum many-body dynamics and open quantum systems.

ADDITIONAL RESPONSIBILITIES AS NEEDED:

• Develop efficient data reduction and analytics algorithms.
• Analyze algorithmic complexity and parallel scalability.
• Collaborate with physical scientists to deploy algorithms in application software.