Computational Research Scientist

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.

You will:

• 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.

We are looking for:

• 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.

Additional information:

• Application date: Priority consideration will be given to candidates who apply by May 31, 2026. Applications will be accepted until the job posting is removed.
• Appointment type: This is a full-time, 5 year, career-track term appointment that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• Salary range: The expected salary for this position is $126,324 - $176,832, which fits into the full salary of $94,740 - $227,376 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.
• Background check: This position is 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 modality: Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.