Position will be closed to applicants on January 30 2026.
Internship Dates:
Please select the session that best works for you and your mentors schedule:
Session 1: May 18 2026 - August 7 2026
Session 2: June 22 2026 - September 11 2026
We have multiple openings for our Undergraduate summer internship program in data science. Our openings are for undergraduate level students 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. If you are graduating with your bachelors degree this summer then apply to the Data Science Summer Institute Graduate Student Intern position.
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: will
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.
Qualifications :
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
Qualifications We Desire
GPA of 3.0 or above.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Why Lawrence Livermore National Laboratory
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.)
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA) Section 3112 generally prohibits citizens of China Russia Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position Candidates must be eligible to access the Laboratory in compliance with Section 3112.
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.
Wireless and Medical Devices
Per the Department of Energy (DOE) Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes but not limited to cell phones tablets fitness devices wireless headphones and other Bluetooth/wireless enabled devices.
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.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under Find Your Job of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent we strongly recommend you do not respond.
To learn more about recruitment scams: Employment Opportunity
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.
California 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.
Remote Work :
No
Employment Type :
Intern
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 idea ... View more