Strengthen the United States’ security by applying expertise to create solutions for big ideas that make the world a better place at Lawrence Livermore National Laboratory (LLNL)
Requirements
- Experience in writing codes (in C/C++ and Python)
- Background in Materials Science/Engineering/Physics/Applied Mathematics
- Experience in parallel computing, porting codes to GPUs
- Experience in numerical solutions of partial differential equations
- Research background with a record of publication
Responsibilities
- Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs discovered from data, and (b) interatomic potentials developed from quantum simulations;
- Explore the use of machine learning methods to discover and evolve PDEs;
- Analyze results, provide weekly updates and present work at poster sessions;
- Review literature in the field of study, document results and write papers;
- Perform other duties as assigned.
Other
- Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field
- Excellent skills in written and verbal communication, as well as teamwork
- Must pass a post-offer, pre-employment drug test
- Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA)
