Machine Learning Physics Graduate Student - Fall 2023
Students | livermore, CA | 08/09/2023
Job Code: 705.2 Grad Student R&D/Technical
Organization: Physical and Life Sciences
Position Type: Student Intern
Security Clearance: None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory’s mission.
Pay Range - $6,200 to $7,520 per month; Salary is based on academic level.
We have an opening for Graduate Summer Intern in the Equation of State Materials Theory Group to engage in practical research experience to further their educational goals. You will work on multidisciplinary projects, such as development of classical empirical and machine learning interatomic potentials, machine learning of kinetic energy density functionals, and use them to study the behavior of materials (high entropy alloys, perovskite halides). These positions are in Physics Division of the Physical & Life Sciences Directorate.
- Work on machine learning models for different materials.
- Develop codes to test different models.
- Analyze results and provide weekly updates.
- Review literature in the field of study, document results and write papers.
- Present work through presentations and/or poster sessions.
- Perform other duties as assigned.
- Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field.
- Research background with a record of publication.
- Experience in writing codes (in C/C++/Fortran and Python) and a background in Materials Science/Physics/Applied Mathematics.
- Excellent skills in written and verbal communication, as well as teamwork.
Qualifications We Desire
- Experience in parallel computing, porting codes to GPUs
All your information will be kept confidential according to EEO guidelines.
Why Lawrence Livermore National Laboratory?
- Holiday Pay
- Sick leave accrual
- Individual 401(k) contributions
- Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
- Our core beliefs - visit https://www.llnl.gov/diversity/our-values
- Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
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