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!

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

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

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.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich 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, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Lawrence Berkeley National Laboratory

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