PhD in AI Agents for Electric Markets

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 320,000 - 420,000; Full time

Job summary

DTU Compute – Department of Mathematics and Computer Science in Denmark invites applications for a PhD position at the intersection of optimal control, AI, and game theory. The project investigates AI-driven, profit-seeking agents in electricity markets to understand market equilibria and dynamics, with a strong emphasis on theory, computation, and multi-agent learning.

You will model learning dynamics, analyze equilibria, and design market rules to ensure safe operation of critical

Qualifications

• Background in one of: Systems and Control, Optimization / OR, Game Theory, Multi-agent Systems, Reinforcement Learning, AI.
• Two-year master's degree or equivalent.

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 to steer learning dynamics.
• Combine theoretical analysis with numerical experiments.
• Communicate results through publications and presentations.

Skills

Multi-agent Systems

Optimal Control

Reinforcement Learning

Algorithmic Market Design

Python/Julia

Education

Master's degree in a relevant field

Tools

Python

Julia

Job description

DTU Compute – Department of Mathematics and Computer Science in Denmark invites applications for a PhD position at the intersection of optimal control, AI, and game theory. The project investigates AI-driven, profit-seeking agents in electricity markets to understand market equilibria and dynamics, with a strong emphasis on theory, computation, and multi-agent learning.

You will model learning dynamics, analyze equilibria, and design market rules to ensure safe operation of critical