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Lawrence Livermore National Laboratory · 2 months ago

Data Science Institute Graduate Student Intern - Summer 2026

Livermore, CA, USA

Internship

Onsite

Intern

$9,950/mo - $9,950/mo

Start in 2026 Summer

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security through innovative research. They are seeking graduate-level students for their Data Science Summer Institute internship, where interns will engage in practical research and provide technical support in areas such as Machine Learning and Statistics.

Information TechnologyMarket ResearchSecurity

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields

Perform technical assignments of a basic degree of complexity and provide technical support to scientists in scientific research and development projects

Support documentation, testing, creation, or modification of Laboratory software, hardware, or Computer operating systems

Conduct research in assigned area. Gather and analyze data and information in support of scientific research under limited direction and supervision

Participate in research planning and evaluation discussion

Work with other DSSI interns on a data science challenge problem

Attend data science related short courses/seminars, meetings, tours, and events

Present work through presentations and/or poster sessions during your internship

Perform other duties as assigned

Qualification

Machine LearningStatisticsHigh Performance ComputingPythonRMatlabC/C++JavaEffective communicationTeamworkPublic presentation

Required

Must be a continuing college or university student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelor's or master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering or other related fields

Effective programming skills in a high-level language, such as, R, Python or Matlab. Distributed/parallel computing and experience with C/C++ and/or Java a plus

Ability to apply principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems

Ability to present and communicate concepts and ideas

Ability to work in a team environment

Effective communication skills

Desire to understand and explore why certain algorithms are well-suited to specific applications

Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems

Desire to improve skills in public presentation of scientific results by giving presentations and participating in the LLNL student poster competition

Eagerness to obtain an understanding of new application areas

Exposure through coursework or relevant experience to some of the following topics: Statistical modeling and data analysis, Bayesian and frequentist statistical frameworks, Inverse problems, Uncertainty quantification, Machine learning, Computer vision, Multimedia signal and video processing, Combinatorics and algorithms, Graph modeling and social network analysis, Modeling and simulation