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

- **Company:** Energy Jobline
- **Location:** Golden, CO, United States
- **Experience:** Starter
- **Salary:** $51,200.0 - $81,900.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Artificial Neural Networks, Computer Programming, Desktop Computing, Linux, Python (Programming Language), MongoDB, Natural Language Processing, SQL Databases, Web Applications, Reinforcement Learning, Graph Neural Networks, Large Language Models, Information Technology, Transformer Architectures
- **Published:** October 13, 2026
- **Apply:** https://www.energyjobline.com/job/graduate-3-12-month-artificial-intelligence-power-system-operations-united-states-32110419

## About the Role

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

## Description

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