We have multiple openings for graduate students and for 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 led by LLNL scientists in 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 Physical and Life Sciences Directorate, Physics Division.
Applications for Physics Division Fall 2024 internships are due by COB October 31, 2024.
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 of 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 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 Physics or a related field.
- 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.