2025 Computing Sciences Student Program
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.
Applied 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 DOE research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet also connects to 140 research and commercial networks, permitting DOE-funded scientists to productively collaborate with partners worldwide.
- 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 specific 2024 NERSC projects
The Scientific Data Division (SciData) transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
- Learn more about Scientific Data Division
Requirements:
Students must be enrolled in a full-time academic program at an accredited college or university. Proof of enrollment is required.
Salary Range:
The hourly range for this position is $18.67- $48.27. Pay will be dependent on the current level of education.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Berkeley Lab is committed to inclusion, diversity, equity and accessibility and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
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