Machine Learning Physics Graduate Student - Winter/Spring 2025

Lawrence Livermore National Laboratory • Full-time • Livermore, CA, US • 1w ago

Company Description

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

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++ 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, specifically porting codes to GPUs, or experience in numerical solutions of partial differential equations.

Additional Information

Why Lawrence Livermore National Laboratory?

Included in 2024 Best Places to Work by Glassdoor!
Holiday Pay
Sick leave accrual
Individual 401(k) contributions
Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
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Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

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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If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

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