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Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations

National Renewable Energy Laboratory

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Hours
Full time
Where
Golden, CO
Posted
Aug 17

Posting Title

Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations.

Location

CO - Golden.

Position Type

Intern (Fixed Term).

Hours Per Week

40.

Working at NLR

NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.

What you'd do

  • Collaborating with internal and external stakeholders to advance research projects
  • Developing innovative AI/LLM solutions to addressing emerging power system needs
  • Contributing and/or leading the writing of research papers
  • The ideal candidate should be able to conduct research work independently

What they want

  • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
  • If selected for position, a letter of recommendation will be required as part of the hiring process.
  • Must meet educational requirements prior to employment start date.
  • The successful candidate will have completed an undergraduate degree and either be enrolled in or recently graduated from a masters degree in computer science, data science, electrical engineering, or related fields, or be enrolled in a PhD program in these fields
  • Experienced in one of the following: natural language learning, large language models, foundation models, transformer models
  • Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems
  • Strong in Python programming and other comparable programming languages
  • Self-motivated and be passionate to learn new things
Starts
2026-02-03