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✨ About The Role

- This internship position is within the Grid Automation and Controls group at NREL, focusing on improving power systems operations.
- Interns will develop learning-based analytics, controls, and optimizations for power systems and distributed energy resources (DERs).
- The role involves collaborating with industry and utility partners to enhance grid reliability, resilience, and security.
- Interns will have the opportunity to contribute to cutting-edge research projects and solutions in the renewable energy sector.
- The internship duration is flexible, ranging from 3 to 12 months.
                            

⚡ Requirements

- The ideal candidate should have a strong technical background in machine learning (ML) and artificial intelligence (AI) applications, particularly in power systems.
- Candidates should be enrolled as a full-time student in a relevant master's degree program or have recently completed a master's degree.
- A minimum cumulative GPA of 3.0 is required, indicating a solid academic performance.
- Successful candidates will be able to conduct research work independently and collaborate effectively with internal and external stakeholders.
- Experience in writing research papers and contributing to research projects is highly valued.
                            

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Graduate (3-12 Month) Intern - Machine Learning Applications To Power System Operations

Golden, Colorado, United States

Operations

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About National Renewable Energy Laboratory

The National Renewable Energy Laboratory (NREL) is transforming energy through research, development, commercialization, and deployment of renewable energy