Predictive Science Academic Alliance Program IV Student Intern (PSAAP IV)
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About this role
Job Description
We have multiple openings for graduate level students who are a part of the Predictive Science Academic Alliance Program IV (PSAAP IV) to perform discipline-focused research needed to help further predictive science enabled by effective extreme scale computing. This internship will run for 10-12 consecutive weeks. 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.
Internship Dates:
- May 18, 2026 - August 7, 2026
- May 26, 2026 - August 14, 2026
- June 15, 2026 - September 4, 2026
- June 22, 2026 - September 11, 2026
You will
- Work with Scientists and Engineers doing research in assigned area.
- Participate in research in assigned area, under minimal supervision.
- 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 eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
- 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 IV (PSAAP IV).
- Demonstrated academic achievement in scientific curriculum.
- Experience applying advanced computational science and/or mathematical principles to solve technical problems.