What are the responsibilities and job description for the Machine Learning Physics Graduate Student - Winter/Spring 2025 position at Lawrence Livermore National Laboratory?
Machine Learning Physics Graduate Student - Winter / Spring 2025
Internship | Full-time
Find out if this opportunity is a good fit by reading all of the information that follows below.
Students | Livermore, CA | 09 / 03 / 2024
Reference # : REF6371O
Job Code : 705.2 Grad Student R&D / Technical / 712.0 Intern Exempt
Organization : Physical and Life Sciences
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
6,410 to $7,780 Monthly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.
Job Description
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, methods to quantify uncertainty in properties obtained from interatomic potentials, analysis of large atomic datasets and use them to study the behavior of materials (high entropy alloys and metal oxides). These positions are in Physics Division of the Physical & Life Sciences Directorate.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
- Work on machine learning models and uncertainty quantification (UQ) methods.
- Develop codes to train and test different interatomic potentials and UQ 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.
Qualifications
Qualifications We Desire
Additional Information
LI-Hybrid
Why Lawrence Livermore National Laboratory?
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.
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
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Salary : $6,410 - $7,780
