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Graduate PhD Student Intern (Summer) – Mathematical Optimization

NREL

United States, United States, United States Full-time June 16, 2026
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Opportunity Description

Description

The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational Science Center has an opening for a graduate student researcher in Mathematical Optimization for large-scale power systems planning. They will deploy developed optimization algorithms on DOE high-performance computing systems. The researcher will develop mathematically sound approaches for transmission and capacity expansion as applied to the bulk electricity systems to enhance economics, reliability, resilience, and security of bulk electric systems.

Responsibilities include:

  • Develop and implement mathematically sound approaches for transmission and capacity expansion using distributed optimization methods on NLR’s HPC
  • Collaborate with NLR researchers to assess tradeoffs between model detail and computational time
  • Process and visualize results to inform algorithmic design
  • Author, present and assist in the preparation of technical paper...
    • Full-time Postsecondary Teachers

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    Opportunity Details

    Location United States, United States
    Country United States
    Type Full-time
    Category Postsecondary Teachers
    Posted June 16, 2026
    Deadline July 26, 2026

    About NREL

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    NREL

    United States, United States

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