Machine Learning Physics Graduate Intern - Winter/Spring 2026 jobs in United States
cer-icon
Apply on Employer Site
company-logo

Lawrence Livermore National Laboratory · 2 months ago

Machine Learning Physics Graduate Intern - Winter/Spring 2026

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States' security through innovative research. They are seeking Machine Learning Graduate Student Interns to engage in practical research on multidisciplinary projects involving machine learning and material behavior modeling.

Information TechnologyMarket ResearchSecurity
check
Growth Opportunities
badNo H1BnoteU.S. Citizen Onlynote

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

C/C++PythonMachine LearningParallel ComputingNumerical SolutionsResearch BackgroundMaterials ScienceWritten CommunicationVerbal CommunicationTeamwork

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

company-logo
Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.

Funding

Current Stage
Late Stage
Total Funding
$11.4M
Key Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant

Leadership Team

G
Greg Herweg
Chief Technology Officer
linkedin
D
David Shaughnessy
Deputy Chief Financial Officer
linkedin
Company data provided by crunchbase