The Grid Automation and Controls Group of the Power Systems and Engineering Center (PSEC) at the National Laboratory of the Rockies (NLR) is looking for a researcher who has solid background on machine learning (ML)/artificial intelligence (AI) with enough knowledge about power systems. The candidate will work on research projects that use ML/ AI to solve power system problems, specially with the focus on Large Language Models (LLM). Ideal candidate is expected to have in-depth knowledge and extensive research experience related to LLM and agentic AI. Ideal candidate should have solid programming skillset and software development experience. Knowledge and experience about power systems is a plus. The ideal candidate should be able to conduct research work with limited guidance from senior researchers, and also collaborate with project PI and other power system researchers from the same project team. . Basic Qualifications. Relevant Master's Degree . Or, relevant Bachelor's Degree and 2 or more years of experience . General knowledge and application of engineering technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good writing, interpersonal and communication skills. - Must meet educational requirements prior to employment start date. Additional Required Qualifications. Must have a MS in computer science, electrical engineering, computer engineering or related fields. Must meet educational requirements prior to employment start date. Additional Required Qualifications. Experience in natural language learning, generative AI, large language models, foundation models, etc. Strong programming skill. Experience in using high performance computers, Linux systems. Preferred Qualifications. Preferred Qualifications. In-depth knowledge in graph neural networks and reinforcement learning. Proven records of research experience related to power systems and power system optimization Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems. Proficiency in using Python and machine learning/reinforcement learning packages. With strong publication record. Job Application Submission Window. The anticipated closing window for application submission is up to 30 days and may be extended as needed.