2022 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, Mathematics, and related science and engineering 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 computational research, high-performance computing, high-speed networking, or a collaboration of each, under the guidance of one or more staff members. In summers past, students at Berkeley Lab have worked in such project areas as:

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

This program is geared toward 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 computer and computational science 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, algorithm design, computer system architecture, and high-performance software implementation.

• Learn more about AMCR

 

Energy Sciences Network (ESnet)

*ESnet is looking for Spring and Summer students. The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to support scientific research. Funded by the U.S. Department of Energy’s Office of Science (SC) and managed by Lawrence Berkeley National Laboratory, 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 world wide.

• 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. NERSC is a division of Lawrence Berkeley National Laboratory , located in Berkeley, Calif. It is also one of four divisions in the Berkeley Lab Computing Sciences area, housed in the Shyh Wang Hall computational research and theory facility. The Energy Sciences Network (ESnet), another national user facility, and the Applied Mathematics and Computational Research Division (AMCRD) and Scientific Data Division are the other three.

• Learn more about NERSC

 

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. Relocation assistance and compensation for room and board is at the students' expense.   

 

Compensation

The hourly wages up to $21.16 for undergraduate students and up to $38.40 for graduate students, depending upon years of education completed. Applicants are responsible for housing and travel expenses.

 

How to Apply

Students interested in the program must apply online. Due to the high level of interest in our program, applications will be accepted only through the online application process.

Complete an online profile, and provide the following in an attached cover letter and resume/CV:

• Your skills and relevant experience
• Your interest in the program
• Educational information (note: you must be enrolled into a full-time academic program at an accredited college or university)
• List your references (name, contact information, relationship to you)

 

You will be contacted only if you are being considered for selection for this program. We hope to hear from you soon!

 

If selected as a finalist, you will be invited to complete a separate job submission containing references, citizenship, and voluntary EEO information.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov  for more information.
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.
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