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Predictive Science Academic Alliance Program III Student Intern
Internship | Intern
Students | livermore, CA | 01/18/2021
Students | livermore, CA | 01/18/2021
Reference #: 107796
Job Code: 702.0 Government Funded Intern
Organization: Computing
Position Type: Student Intern
Security Clearance: None (however, assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
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Job Code: 702.0 Government Funded Intern
Organization: Computing
Position Type: Student Intern
Security Clearance: None (however, assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
Company Description
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.
Job Description
We have multiple openings for graduate level students who are a part of the Predictive Science Academic Alliance Program III (PSAAP III) to perform discipline-focused research needed to help further predictive science enabled by effective extreme scale computing. This internship will run 10-12 consecutive weeks, between April and October, 2021. Our goal is to develop and demonstrate technologies and methodologies to support effective extreme computing in the context of science/engineering applications. You will provide technical and/or research support to projects in the areas of computational science, computer science, numerical methods, mathematics, or other related fields.
In this role you will
- Students will work with Scientists and Engineers doing research in assigned area.
- Under minimal supervision, will participate in research in assigned area.
- Gather and analyze data or information in support of scientific research.
- Make an oral or poster presentation on the outcome of their research activities.
- Students should expect to spend approximately 40 hours a week working on their research projects or participating in the provided professional development opportunities.
- Perform other duties as assigned.
Qualifications
- Must be a continuing college or university student in good standing at an accredited institution pursuing a graduate degree in Computer Science, Mathematics, or other related fields.
- Must be an active member of the Predictive Science Academic Alliance Program III (PSAAP III).
- Demonstrated academic achievement in scientific curriculum.
- Experience applying advanced computational science and/or mathematical principles to solve technical problems.
Additional Information
Why Lawrence Livermore National Laboratory?
- Included in 2020 Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (*depending on project needs)
- Collaborative, creative, inclusive, and fun team environment
Learn more about our company, selection process, position types and security clearances by visiting our Career site.
Security Clearance
LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory. Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement). If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. An L or Q clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted. For additional information please see DOE Order 472.2.
Equal Employment Opportunity
LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
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