Research Engineer - Machine learning applications to power system operations

National Laboratory of the Rockies•Golden, CO

9d•Onsite

About The Position

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.

Requirements

MS in computer science, electrical engineering, computer engineering or related fields.
Experience in natural language learning, generative AI, large language models, foundation models, etc.
Strong programming skill.
Experience in using high performance computers, Linux systems.
For Researcher II: Relevant Master's Degree or relevant Bachelor's Degree and 2 or more years of experience.
For Researcher III: Relevant PhD or relevant Master's Degree and 3 or more years of experience or relevant Bachelor's Degree and 5 or more years of experience.
Must meet educational requirements prior to employment start date.
Ability to obtain and maintain a federal Personal Identity Verification (PIV) card, which includes a favorable background investigation.

Nice To Haves

In-depth knowledge in graph neural networks and reinforcement learning.
Proven records of research experience related to power systems and power system optimization.
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.
Strong publication record.
Knowledge and experience about power systems is a plus.
In-depth knowledge and extensive research experience related to LLM and agentic AI.
Solid programming skillset and software development experience.

Responsibilities

Work on research projects that use ML/AI to solve power system problems, with a focus on Large Language Models (LLM).
Conduct research work with limited guidance from senior researchers.
Collaborate with project PI and other power system researchers from the same project team.