Postdoctoral Researcher: Machine Learning/Artificial Intelligence Applications to Power Systems

About the role

The Grid Automation and Controls Group of the Power Systems and Engineering Center (PSEC) at the National Laboratory of the Rockies (NLR) is seeking a postdoctoral researcher to support research in the operation, control, modeling, and simulation of the power grid, particularly focusing on Generative AI (GenAI) and Large Language Models (LLM).

Responsibilities

• Conduct research projects that utilize machine learning (ML) and artificial intelligence (AI) to address power system challenges.
• Apply AI knowledge to solve energy system problems, especially those involving GenAI and LLM.
• Collaborate with project PI and other power system researchers from the same project team.
• Work independently on research projects with limited guidance from senior researchers.

Requirements

• Recent Ph.D. graduate within the last three years.
• Relevant Ph.D. in Electrical Engineering or Computer Science or related fields.
• Experience in one or more ML/AI techniques.
• Solid programming skills.
• In-depth knowledge in graph neural networks and reinforcement learning.
• Proven research experience related to power systems and power system optimization.
• Knowledge and experience about power systems is a plus.

Qualifications

• In-depth knowledge in natural language learning, generative AI, large language models, foundation models, etc.
• 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.
• Experience in using high performance computers and Linux systems.
• Strong publication record.

Benefits

• Medical, dental, and vision insurance.
• Short-term disability insurance.
• Pension benefits.
• 403(b) Employee Savings Plan with employer match.
• Life and accidental death and dismemberment (AD&D) insurance.
• Personal time off (PTO) and sick leave.
• Paid holidays.
• Performance-, merit-, and achievement-based awards.

Pay

Annual Salary Range: $76,600 - $126,400

Schedule

Full-time 40 hours per week