2019 Computing Sciences Summer Student Program

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Students
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CR-Computational Research
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85629 Requisition #

Spend Your Summer Learning and Earning at One of the World's Leading Centers for Computational Science!


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. Berkeley Lab, located in Berkeley, CA is a world leader in computing, biological, physical, materials, chemical, and energy sciences research. In summers past, students at Berkeley Lab have worked in such project areas as:

  • Building scalable multi-domain topology lookup service for network circuit setup

  • Developing visualization techniques for network monitoring data

  • Distributed lookup service

  • Exploring topics in named data networking

  • Machine learning techniques applied to network monitoring data

  • Mobile computing

  • Numerical algorithms for nanoscience

  • Optimizing OSCARS for a reduced memory footprint deployment

  • Parallel scientific code templates

  • Scientific computing tools

  • Software defined networking with overflow

  • Web-based clients for remove visualization

Projects are designed so that students will complete a major portion of the work during the 12-week period. 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. The exact starting date is at the mutual convenience of the students and the needs of the program.


2019 Projects:


NERSC Summer Student Projects

Project descriptions:  https://www.nersc.gov/research-and-development/internships/

  • Enhancing Jupyter Capabilities at NERSC

  • Physics-informed GANs for complex systems

  • Spatio-temporal GANs for complex systems, with applications to turbulent flows and hydro/climate modeling

  • Deep Learning on graph structured scientific data

  • Automating Neural Network Search

  • Deep Learning for Cross-Scale Material Analysis

  • Supercomputing API server

  • OAuth2 and SAML Authentication for API and Web Services

  • Queue modelling using SLURM simulation

  • Intent-based network resource management for superfacility model

  • Jupyter Tools for the Superfacility


ESnet Summer Student Projects - TBD


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 $18.80 for undergraduate students and up to $36.84 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)

During the application process you will be asked to provide three areas of interest.   This will help us to match you with the right opportunity.


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


NOTE: You may choose to apply to specific projects in which you're interested (list of available projects will be posted as they become available). This is not required to apply for the program.


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


Join our Facebook Group: Berkeley Lab Computing Sciences Student Programs

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.  Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."


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Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.