PhD: AI Agents for Efficient Electricity Markets

DTU Compute; Kongens Lyngby; On-site; DKK 330,000 - 450,000; Full time

Job summary

DTU Compute in Denmark seeks a PhD scholarship holder to study AI-driven agents in electricity markets. You will analyze how learning-based, profit-seeking agents interact and influence market equilibria and dynamics, guided by game theory and optimal control.

The role combines theory and computation with a focus on stability, efficiency, and safety in critical infrastructure. Applicants should have a strong background in systems and control or related fields, plus basic programming in Python or

Qualifications

• Background in Systems and Control, Optimization/OR, Game Theory and Learning in Games, Multi-agent Systems or RL/AI, Algorithms/Applied Mathematics.
• Power Systems or Electricity Markets knowledge encouraged but not required.
• Two-year master’s degree or equivalent and strong English are essential.
• Basic programming skills in Python or Julia are expected.

Responsibilities

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

Skills

Systems and Control

Optimization / Operations Research

Game Theory and Learning in Games

Multi-agent Systems, Reinforcement |0{

Education

Master's degree (2-year) or equivalent

Tools

Python

Julia

Job description

DTU Compute in Denmark seeks a PhD scholarship holder to study AI-driven agents in electricity markets. You will analyze how learning-based, profit-seeking agents interact and influence market equilibria and dynamics, guided by game theory and optimal control.

The role combines theory and computation with a focus on stability, efficiency, and safety in critical infrastructure. Applicants should have a strong background in systems and control or related fields, plus basic programming in Python or