Posting Title

Graduate (3-12 month) Intern - Machine Learning Applications to Power System Operations

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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Working at NREL

The National Renewable Energy Laboratory (NREL), 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 Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL 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 NREL, 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.

Learn about NREL’s critical objectives: NREL's Mission and Vision.

Job Description

This Grid Automation and Controls group at NREL focuses on conducting research projects to improve power systems operations. 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 intelligent (AI) applications in power systems, ideally on the distribution grid and distributed energy resources (DERs). This is a 3-month internship opportunity with the potential to extend to 12- months.

To learn more about the work this group does, check out the following link: https://www.nrel.gov/grid/distributed-energy-resource-management-systems.html

Job responsibilities will include but are not limited to:

• Collaborating with internal and external stakeholders to advance research projects
• Developing learning-based analytics, controls and optimizations for power systems and DERs
• Contributing and/or leading the writing of research papers
• The ideal candidate should be able to conduct research work independently

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Basic Qualifications

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.

Additional Required Qualifications

• The successful will have completed an undergraduate or master's degree in computer science, electrical engineering, or related field or be enrolled in a PhD program in these fields.
• Experienced in one or more ML/AI techniques, such as reinforcement learning, federated learning, natural language learning, graph neural network
• Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms