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Machine Learning Physics Graduate StudentLawrence Livermore National Laboratory • Livermore, California, United States
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Machine Learning Physics Graduate Student

Lawrence Livermore National Laboratory
  • US
    Livermore, California, United States
  • US
    Livermore, California, United States
Postuler Maintenant

À propos

Job Information Internship | Intern
Students | Livermore, CA | 06/02/2026
Reference #: REF8405T
Job Code: 705.2 Grad Student R&D/Technical / 712.0 Intern Exempt
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 Apply Now
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world‑changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi‑domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description We have multiple openings for Machine Learning Graduate Student Interns 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, discovery of partial differential equations (PDEs), numerical solutions of partial differential equations to model material behavior at continuum scale and analysis of large atomic datasets. These positions are in the Equation of State Materials Theory Group of the Physics Division of the Physical & Life Sciences Directorate.
Full‑time on‑site presence is required due to the nature of the work.
Your Responsibilities
Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs (for phase field and phase field crystal models) discovered from data, and (b) interatomic potentials developed from quantum simulations.
Explore the use of machine learning methods to discover and evolve PDEs for phase field and phase field crystal models.
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.
Qualifications
Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
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/Engineering/Physics/Applied Mathematics.
Excellent skills in written and verbal communication, as well as teamwork.
Desired Qualifications
Experience in parallel computing, porting codes to GPUs, experience in numerical solutions of partial differential equations.
Pay Range $6,752 - $8,201 Monthly
This position is under a step structure. Step placement is determined by your most recent completed academic year.
Additional Information #LI-Onsite
Security Clearance Requirements To be qualified for this position, candidates must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act. Restrictions prohibit citizens of China, Russia, Iran and North Korea without dual U.S. citizenship or legal permanent residence from accessing specific non‑public areas of national security or nuclear weapons facilities.
Pre‑Employment Drug Test External applicant(s) selected for this position must pass a post‑offer, pre‑employment drug test, including testing for use of marijuana.
Wireless and Medical Devices Depending on job duties, you may be required to work in a Limited Area where personal mobile devices are prohibited. Allowed devices include hearing aids without wireless capabilities or with disabled wireless functions. For medical devices paired with a mobile device, separate approval may be required.
Equal Opportunity Employer 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.
Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non‑employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
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  • Livermore, California, United States

Compétences linguistiques

  • English
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