Physics Division Graduate Intern - Summer 2026

LLNL•Livermore, CA

2d•Hybrid

About The Position

We have multiple openings for graduate students and students who have received a bachelor’s or master’s degree to engage in practical research experience to further their educational goals. Opportunities include participation in projects lead by LLNL scientists in the research areas including: Applied Physics (Optical and X-Ray Imaging, Astrophysics and Planetary Science (laboratory-based and observational), Space Science Vehicles & Sensors); Condensed Matter Physics (Theory, Modeling & Simulation, Experimental Static & Dynamic High Pressure Physics, Quantum Computing & Sensing); High Energy Density Physics (Experimental Laser and Magnetically-driven compression, Theory, Modeling and Simulation of HED states) ; and Plasma and Fusion Energy Science (Fusion Energy Modeling & Simulation, Tokamak development experiments & diagnostics, Applications of Plasma Science). These positions are in the Physics Division of the Physical & Life Sciences Directorate. Summer internships are typically for 3 months and start in the months of May to July. Applications will close COB January 30, 2026. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

Requirements

Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
Must be a continuing student in good standing at an accredited institution pursuing a graduate degree or have completed a bachelor’s or master’s degree in a field of science, engineering or an equivalent.
Demonstrated academic achievement in Physics or related field.
Experience applying basic physics principles to solve technical problems.
Effective communication skills.
Ability to present and communicate concepts and ideas.
Knowledge in Materials Science/Physics/Applied Mathematics/Applied Sciences.
Knowledge of modern computer-based data analysis approaches, summarizing and presenting results.
Ability to work in a team environment.

Nice To Haves

Experience with modern high-performance computing systems.
Experience with modern high-pressure experimental platforms and associated diagnostics.

Responsibilities

Work with scientists conducting research in experiments, theory or modeling simulation, and materials modelling.
Conduct research in assigned area under limited direction and supervision.
Perform scientific assignments at an appropriate level complexity and work collaboratively on scientific research and development projects.
Analyze results and provide weekly updates.
Present work through presentations and/or poster sessions.
Perform other duties as assigned.