Machine Learning Physics Graduate Student
llnl · Livermore, CA, us · $81k–$98k
- Posted
- 82 days ago
- Last confirmed live
- 1 day ago
- Type
- intern
- Published range
- $81k–$98k
What this role involves
Lawrence Livermore National Laboratory (LLNL) is hiring graduate student interns to work on machine learning applications in physics and materials science, including development of interatomic potentials and discovery of partial differential equations. The role requires full-time on-site presence at the Livermore, CA facility and involves C/C++/Python coding, parallel computing, and GPU programming.
Skills this posting asks for
- c/c++
- python
- machine learning
- parallel computing
- gpu programming
- numerical solutions of pdes
- materials science
- physics
- applied mathematics
Requirements
- Level: intern
- Remote policy: onsite
Apply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
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