Computational Research Scientist

Lawrence Berkeley National Laboratory • Berkeley, CA

7h • Hybrid

About The Position

The Center for Computational Sciences and Engineering (CCSE) develops and applies advanced computational methodologies to solve large-scale scientific and engineering problems arising in DOE mission areas involving energy, environment, and industrial technology. Your primary focus is to develop AI/ML-based methodologies, encompassing large language models, agentic workflows, and multimodal data curation, to address problems in microelectronics and material science. You will also develop AMReX-based multiphysics/multiscale PDE solvers, steer large-scale simulation campaigns, and work with experimental and public research databases to accelerate scientific discovery. This position has an anticipated start date of 8/1/26. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Requirements

• Typically requires a Ph.D. in Applied Mathematics, Physics, Computer Science, or the Physical Sciences/Engineering; or an equivalent combination of education and experience.
• Strong research background in applied mathematics, computational methods, and scientific computing.
• Demonstrated expertise in microelectronics and material science applications.
• Demonstrated expertise in large language models, agentic workflows, and multimodal data curation.
• Demonstrated expertise in multiscale/multiphysics partial differential equation model and algorithm development and steering of large-scale simulation campaigns.
• Demonstrated experience with the AMReX software library and AMReX-based applications, or similar.
• Demonstrated experience in scientific computing and AI/ML approaches using C++ and python.
• Keen interest in extending mathematical and scientific computing techniques to new problems.
• Excellent verbal and written communication skills.
• Ability to work productively both independently and as part of a diverse team.

Responsibilities

• Develop, implement, and test methodologies that leverage large language models, agentic workflows, and multimodal data curation for scientific discovery
• Develop AMReX-based simulation capabilities for multiphysics/multiscale partial differential equations and steer computational campaigns to curate massive datasets.
• Interact with researchers internal and external to LBL to explore and extend the applicability of newly developed models and algorithms for microelectronics and materials science.
• Work in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists to develop models, numerical algorithms, and perform scientific investigations.
• Author peer-reviewed journal articles and contribute to research proposals.
• Participate in developing new funding initiatives as appropriate.

Benefits

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree