Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern
National Renewable Energy Laboratory(1 month ago)
About this role
A year-round Graduate PhD Student internship at the National Laboratory of the Rockies focused on machine learning applications for cyber-physical power system operations. The position is based in Golden, Colorado and is part of NLR's energy systems research and development efforts involving distribution grids and distributed energy resources. The internship supports multidisciplinary collaboration and professional development within a national laboratory environment.
Required Skills
- Machine Learning
- Artificial Intelligence
- Neural Networks
- Reinforcement Learning
- Federated Learning
- Graph Networks
- Power Systems
- Distribution Grid
- Cybersecurity
- Python
+4 more
Qualifications
- PhD Student
- Master's Degree
- Bachelor's Degree
- 3.0 GPA
- PIV Card Eligibility
About National Renewable Energy Laboratory
nrel.govNREL bridges research with real-world applications to advance energy technologies that lower costs, boost the economy, strengthen security, and ensure abundant energy.
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