About the role#
The Equation of State Materials Theory Group is seeking graduate student interns to join our team in Livermore, California. You will work on multidisciplinary projects, including the development of machine learning interatomic potentials, the discovery of partial differential equations, and the analysis of large atomic datasets. This is a full-time, on-site position.
What you'll do#
- Develop parallel C, C++, and Python codes to train and test data-driven partial differential equations and interatomic potentials.
- Explore machine learning methods to evolve phase field and phase field crystal models.
- Analyze research results and provide weekly updates to your team.
- Present your work at poster sessions.
- Review relevant literature and document your findings in papers.
What you'll need#
- You must be a continuing student in good standing at an accredited institution, pursuing a graduate degree in Physics, Computer Science, Mathematics, or Computer Engineering.
- You need a research background with a record of publication.
- Proficiency in writing code using C, C++, and Python is required.
- You must have excellent written and verbal communication skills.
- You must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act.
Location & details#
- Location: Livermore, California.
- Work Modality: This role requires full-time, on-site presence.
- Term: Rolling.
- Employment: This is a paid, full-time internship.
About Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory is a government research facility based in the San Francisco Bay Area. Founded in 1952, it operates as part of the National Nuclear Security Administration under the Department of Energy. The laboratory employs nearly 10,000 people and focuses on research in physics, engineering, chemistry, and mathematics. Its work supports national security through programs in defense, energy, and environmental science.
How to get in at Lawrence Livermore National Laboratory
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