About the role#
The Grid Automation and Controls group is seeking a Graduate Intern to contribute to projects focused on power system modernization. You will work on high-impact research to improve grid reliability, resilience, and security. This is a 3-month internship with the potential to extend up to 12 months.
What you'll do#
- Collaborate with internal and external stakeholders to advance research projects.
- Develop innovative AI and LLM solutions to address emerging power system needs.
- Conduct research independently.
- Contribute to or lead the writing of research papers.
What you'll need#
- Minimum 3.0 cumulative GPA.
- Current enrollment as a full-time student in a bachelor, master, or PhD program, or graduation from a bachelor or master program within the last 12 months.
- Degree or current studies in Computer Science, Data Science, Electrical Engineering, or related fields.
- Experience with natural language learning, large language models, foundation models, or transformer models.
- Fundamental knowledge of neural networks, learning algorithms, and their applications to complex systems.
- Proficiency in Python and other comparable programming languages.
- Self-motivation and a drive to learn new things.
Location & details#
- This position is based in Golden, Colorado, with the option for remote or on-site work.
- This is a full-time internship (40 hours per week).
- All candidates must be able to obtain and maintain a federal Personal Identity Verification (PIV) card, which includes a background investigation.
- Employment is subject to a pre-employment drug test, including for marijuana.
About National Renewable Energy Laboratory
The National Renewable Energy Laboratory operates as the primary national laboratory for the United States Department of Energy focused on energy systems research. Founded in 1977, the organization conducts research in energy efficiency, basic science, and energy security. It maintains a staff of approximately 3,751 employees. The laboratory is based in Golden, Colorado.
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