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

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.

Job responsibilities will include but are not limited to:

• 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

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

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.

Additional Required Qualifications

• 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

Preferred Qualifications

• 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