PhD: AI Agents in Electricity Markets for Stable Equilibria

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 402,000 - 469,000; Full time

Job summary

DTU – Technical University of Denmark is offering a PhD position focused on AI-driven, profit-seeking agents in electricity markets. You will study learning-based strategies, equilibria, and safe operation of critical infrastructure with a blend of theory and computation.

The role emphasizes multi-agent systems, optimal control, and algorithmic market design, with a collaboration across DTU Compute and the Department of Applied Mathematics and Computer Science.

Qualifications

• Master's degree in a quantitative field and strong background in optimization or control.
• Solid understanding of multi-agent learning and game-theoretic concepts.
• Programming skills in Python or Julia and excellent English.

Responsibilities

• Model AI-driven learning dynamics in electricity markets.
• Analyze market equilibria focusing on safety and learnability.
• Develop algorithms to detect harmful market outcomes.
• Design market rules to steer learning dynamics in multi-agent settings.
• Combine theory with numerical experiments and publish results.

Skills

Systems & Control

Optimization

Game Theory

Multi-agent Systems

Reinforcement Learning

Applied Mathematics

Power/Electricity Markets

Education

Two-year Master’s degree

Tools

Python

Julia

Job description

DTU – Technical University of Denmark is offering a PhD position focused on AI-driven, profit-seeking agents in electricity markets. You will study learning-based strategies, equilibria, and safe operation of critical infrastructure with a blend of theory and computation.

The role emphasizes multi-agent systems, optimal control, and algorithmic market design, with a collaboration across DTU Compute and the Department of Applied Mathematics and Computer Science.