Lawrence Berkeley National Laboratory
1 week ago
Postdoctoral Researcher in Scientific Machine Learning and Computational Chemistry Lawrence Berkeley National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time 2-year postdoctoral appointment with possibility of renewal based on satisfactory performance, continuing availability of funds, and operational needs. Salary range is $8,827 to $10,233 and starts at $8,827 or above, with pay determined by postdoctoral step rates under the union contract. Benefits include comprehensive health coverage, PTO, sick leave, and paid holidays.
Deadline
Oct 1, 2026
Country
United States
University
Lawrence Berkeley National Laboratory

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About this position
Lawrence Berkeley National Laboratory is recruiting a Postdoctoral Researcher in Scientific Machine Learning & Computational Chemistry within the Applied Mathematics and Computational Research Division.
This postdoctoral opening sits at the intersection of machine learning, computational chemistry, computational physics, and scientific software development. The research focuses on physics-informed and symmetry-aware models for excited-state simulations, including equivariant graph neural networks, nonadiabatic molecular dynamics, and open-source Python/JAX workflows. The role also involves integrating trained models with simulation tools and validating performance on molecular and materials systems.
Research themes include: scientific machine learning, deep learning, graph neural networks, geometric deep learning, excited-state electronic-structure theory, nonadiabatic dynamics, surface hopping, path-integral methods, active learning, transfer learning, uncertainty quantification, and high-performance computing.
Eligibility highlights: applicants should hold a PhD earned within the last 3 years in Computer Science, Computational Science, Chemistry, Physics, Applied Mathematics, Materials Science, Chemical Engineering, or a related field. Required experience includes machine learning for scientific or atomistic data, strong Python skills, and familiarity with PyTorch or JAX. The post also asks for reliable Linux-based research software development, reproducible workflows, and a publication or presentation record. Candidates must have less than 3 years of paid postdoctoral experience and must be eligible to work in the United States; visa sponsorship is not available.
Funding and appointment: this is a full-time, 2-year postdoctoral appointment with possible renewal. Salary is listed at $8,827–$10,233, with step-based pay under the union contract. Benefits include medical, dental, and vision coverage, PTO, sick leave, and paid holidays.
Application window: priority consideration is given to applications submitted by 2026-10-01. Applications are accepted until the posting is removed.
Funding details
Full-time 2-year postdoctoral appointment with possibility of renewal based on satisfactory performance, continuing availability of funds, and operational needs. Salary range is $8,827 to $10,233 and starts at $8,827 or above, with pay determined by postdoctoral step rates under the union contract. Benefits include comprehensive health coverage, PTO, sick leave, and paid holidays.
What's required
PhD degree within the last 3 years in Computer Science, Computational Science, Chemistry, Physics, Applied Mathematics, Materials Science, Chemical Engineering, or a related technical field. Applicants should have demonstrated research experience in machine learning or deep learning for scientific or atomistic data, computational chemistry, computational physics, or a closely related area; strong Python programming skills; experience with PyTorch or JAX; knowledge of graph neural networks, geometric deep learning, invariant or equivariant models; ability to develop reliable research software in Linux with version control, testing, documentation, and reproducible workflows; and a record of scientific publication or presentation. Must have less than 3 years of paid postdoctoral experience and be eligible to work in the U.S. at the time of hire.
How to apply
Apply through the Berkeley Lab jobs portal using the provided application link. Priority consideration is given to applications submitted by 2026-10-01, though applications remain open until the posting is removed.
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