Graduate (3-12 month) - Artificial Intelligence for Power System Operations in , United States

This Grid Automation and Controls group at The 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 who has strong technical background in machinelearning (ML)and artificial intelligence (AI), ideally on large language models, natural language processing, and/or foundation models. This is a 3-month opportunity with the potential to extend to 12- months. This 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 Developinginnovative 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.nlr.gov/grid/distributed-energy-resource-management-systems, NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Equal Opportunity Employer

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 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 period of up to one year. Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution. 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 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-artlearningalgorithms, and their applications to complex systems Strong in Python programming and other comparable programming Self-motivated and be passionate to learn new things, 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 Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week)

Job Profile: / Annual Salary Range: $51,200 - $81,900 NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions. Benefits Summary

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. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. *

Based on eligibility rules Badging Requirement

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 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 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 laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being., E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.