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

NREL • Golden, CO

14h • Hybrid

About The Position

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. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. This Grid Automation and Controls group at The National Laboratory of the Rockies (NLR) focuses on conducting high-impact projects to enhance power system modernization. We develop cutting edge solutions and work closely with industry and utility partners to enhance grid reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural language processing, and/or foundation models. This is a 3-month internship opportunity with the potential to extend to 12- months. This internship can be done remotely or onsite.

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.
• Please Note: 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. 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

Nice To Haves

• Experience with other ML/AI techniques, including reinforcement learning and graph neural networks
• Experience in using high performance computers, Linux systems
• Experience in JavaScript, SQL, MongoDB, and developing interactive web-based dashboard and tools.
• Familiar with power systems and know the basics of power flow

Responsibilities

• 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

Benefits

• Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match; and sick leave (where required by law).
• NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component.
• Some positions may be eligible for relocation expense reimbursement.

What This Job Offers

• Career Level: Intern