Lawrence Livermore National Laboratory · 19 hours ago
Machine Learning Physics Graduate Intern - Winter/Spring 2026
Lawrence Livermore National Laboratory (LLNL) is dedicated to advancing science and technology to strengthen U.S. security and promote global stability. They are seeking Machine Learning Graduate Student Interns to engage in practical research experience, working on multidisciplinary projects related to machine learning and material behavior modeling.
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Responsibilities
Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs discovered from data, and (b) interatomic potentials developed from quantum simulations
Explore the use of machine learning methods to discover and evolve PDEs
Analyze results, provide weekly updates and present work at poster sessions
Review literature in the field of study, document results and write papers
Perform other duties as assigned
Qualification
Required
Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field
Research background with a record of publication
Experience in writing codes (in C/C++ and Python) and a background in Materials Science/Engineering/Physics/Applied Mathematics
Excellent skills in written and verbal communication, as well as teamwork
Preferred
Experience in parallel computing, porting codes to GPUs, experience in numerical solutions of partial differential equations
Benefits
Holiday Pay
Sick leave accrual
Individual 401(k) contributions
Company
Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.
Funding
Current Stage
Late StageTotal Funding
$11.4MKey Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant
Recent News
2026-01-22
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