Computing Sciences Student Program
Listed on 2025-12-05
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IT/Tech
Data Scientist, Computer Science -
Research/Development
Data Scientist
Join to apply for the 2026 Computing Sciences Student Program role at Berkeley Lab
Spend Your Summer Learning and Earning at One of the World's Leading Centers for Computational Science! Berkeley Lab, located in Berkeley, CA, is a world leader in computing, biological, physical, materials, chemical, and energy sciences research. For students majoring in Computational Science, Computer Science, Data Science, Mathematics, and related fields, Berkeley Lab Computing Sciences hosts a 10–12 week research summer program that provides students with the opportunity to gain research experience.
Participants will work on projects in areas such as computational research, high-performance computing, and high-speed networking, or at the interface of several disciplines, under the guidance of one or more staff members. This program is geared toward graduate students in any computing sciences‑related discipline and undergraduate students between their junior and senior years who have completed core courses in Computer Science, Mathematics, or related areas of study.
Projects are designed so that students will complete a significant portion of the work during the 10–12 weeks. The exact starting date is at the mutual convenience of the student and the needs of the program. Summer students will work on projects within one of the four divisions in the Computing Sciences Area: the Applied Mathematics and Computational Research Division, the Energy Sciences Network (ESnet), the National Energy Research Scientific Computing Center (NERSC), and the Scientific Data Division.
Mathematics and Computational Research Division
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling, simulation and analysis, numerical algorithm design, computer system architecture, quantum information science, quantum computing, computational science, computer science, and high-performance software.
Learn more about the Applied Mathematics & Computational Research Division.
Energy Sciences Network (ESnet)The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to support scientific research. ESnet provides services to more than 50 U.S. Department of Energy research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet's research focuses on advancing high-speed networks, integrating cloud and quantum technologies, applying AI/ML for smarter network management, automating complex workflows, and using data analytics to support large-scale science projects.
Learn more about ESnet. Learn more about specific projects available.
National Energy Research Scientific Computing Center (NERSC)The National Energy Research Scientific Computing Center (NERSC) is the primary scientific computing facility for the Office of Science in the U.S. Department of Energy. As one of the largest facilities in the world devoted to providing computational resources and expertise for basic scientific research, NERSC is a world leader in accelerating scientific discovery through computation.
Learn more about NERSC. Learn more about specific 2024 NERSC projects.
Scientific Data DivisionThe Scientific Data Division (Sci Data) advances data-driven discovery by making scientific data a first‑class, AI‑ready asset. In partnership with the scientific community, methods and infrastructures are developed to support the full data lifecycle, from acquisition to long‑term reuse, so that datasets remain trustworthy, interpretable, and usable across disciplines and applications.
Learn more about Scientific Data Division.
RequirementsStudents must be enrolled in a full-time academic program at an accredited college or university. Proof of enrollment is required.
Salary RangeThe hourly range for this position is $18.67 – $48.27. Pay will be dependent on the current level of education.
Misconduct Disclosure RequirementAs a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any…
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