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Physics World · 2 months ago

Data Science Institute Undergraduate Student Intern - Summer 2026

Livermore, CA

Internship

Onsite

Intern

$22.80/hr - $31/hr

Start in 2026 Summer

Lawrence Livermore National Laboratory (LLNL) is seeking undergraduate students for their Data Science Summer Institute internship program. Interns will engage in practical research in data science, providing technical and research support in areas such as Machine Learning, Statistics, and High Performance Computing.

Publishing

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

Participate in research in assigned areas under close supervision

Gather and analyze data and information in support of scientific research

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 ComputingRPythonMatlabStatistical modelingDesire to learnEffective communicationTeamworkPublic presentation

Required

Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate 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. Ability to apply basic 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 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

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