Data Science Institute Graduate Student Intern - Summer 2026

LLNL•Livermore, CA

1d•Onsite

About The Position

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. Position will be closed to applicants on January 30, 2026. Internship Dates: Please select the session that best works for you and your mentor’s schedule: Session 1 : May 18, 2026 - August 7, 2026 Session 2 : June 22, 2026 - September 11, 2026 We have multiple openings for our summer internship program in data science. Our openings are for graduate level students or students who have received their bachelor's or master's degree to join the Data Science Summer Institute (DSSI). The DSSI is a 12-week summer internship program and selected interns will be given the opportunity to engage in practical research to further their educational goals. The selected interns will work in the data science field and provide technical and/or research support to projects in the area of Machine Learning, Statistics, High Performance Computing and other related fields. Before applying, please understand the following: This is an on-site internship; attendance in person is required. Confirm with your university that you are permitted to participate in and work for the full 12-week internship program (i.e. CPT hours). Modifications to the internship dates will not be accepted. If you have pre-planned travel or commitments during the internship, this needs to be disclosed in the interview process. For FAQ, please visit: https://data-science.llnl.gov/dssi/apply

Requirements

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.
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

Nice To Haves

GPA of 3.0 or above.
Distributed/parallel computing and experience with C/C++ and/or Java a plus.

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.