2024 Computing Sciences Student Program

Updated: 11 days ago
Location: Berkeley, CALIFORNIA
Deadline: The position may have been removed or expired!

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. 

Summer students will work on projects within one of the four divisions in the Computing Sciences Area: Applied Mathematics and Computational Research Division, Energy Sciences Network (ESnet), the National Energy Research Scientific Computing Center (NERSC), and the Scientific Data Division.

This program is geared toward undergraduate students between their junior and senior years who have completed core courses in Computer Science, Mathematics, and related areas of study or graduate students in any computing sciences-related discipline. Projects are designed so that students will complete a significant portion of the work during the 12 weeks. The exact starting date is at the mutual convenience of the students and the needs of the program.

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, computational science, and high-performance software implementation.

 

  • 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 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 Division


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. 

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) 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:

Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. 



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