Graduate Intern – Artificial Intelligence for Power System Operations

November 15

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Logo of National Renewable Energy Laboratory

National Renewable Energy Laboratory

Energy • Science • Government

National Renewable Energy Laboratory is a national laboratory of the U. S. Department of Energy, focused on transforming energy through research, development, commercialization, and deployment of renewable energy and energy efficiency technologies. NREL partners with organizations to accelerate the transition of these technologies to the marketplace. The laboratory covers a range of research areas, including bioenergy, geothermal, hydrogen, solar, transportation, wind, and water. It provides data sets, maps, models, and tools for energy analysis and offers research positions in various fields related to renewable energy. NREL is committed to economic impact, sustainability, diversity, and community collaboration.

1001 - 5000 employees

Founded 1977

⚡ Energy

🔬 Science

🏛️ Government

📋 Description

• 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

🎯 Requirements

• Minimum of a 3.0 cumulative grade point average. • Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution. • Post Undergraduate: Earned a bachelor’s degree within the past 12 months. • Eligible for an internship period of up to one year. • Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution. • Post Graduate: Earned a master’s degree within the past 12 months. • Eligible for an internship period of up to one year. • Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution. • 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.

🏖️ Benefits

• medical, dental, and vision insurance • 403(b) Employee Savings Plan with employer match* • sick leave (where required by law)

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