Physics Division Graduate Internship - Summer 2027

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) and Condensed Matter Physics (Theory, Modeling & Simulation, Experimental Static & Dynamic High Pressure Physics, Quantum Computing & Sensing). These positions are in the Physics Division of the Physical & Life Sciences Directorate.
Summer internships are typically 3 months in length and start between the months of May to July.
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
Applications will close COB January 31, 2027.
You will
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.
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.
Qualifications We Desire
Experience with modern high-performance computing systems.
Experience with modern high-pressure experimental platforms and associated diagnostics.
Pay Range
$6,752 - $8,201 Monthly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.

Skills
Data Analysis

Employment type
Intern

Work arrangement
Hybrid