Summary
The Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark (DTU) is offering a fully funded PhD scholarship. The project centers on mathematical modeling, game theory, multi-agent reinforcement learning (MARL), and optimization to study the behaviors of AI agents in modern electricity markets and design optimal market mechanisms for the green energy transition.
PhD Scholarship in AI Agents in Electricity Markets: Equilibria, Multi-agent Learning Dynamics, and Optimal Market Design
Overview
| Attribute | Details |
| Position / Designation | PhD Fellow / PhD Scholarship |
| Host Institution | Technical University of Denmark (DTU) – DTU Compute |
| Job Identification | 7960 |
| Job Category | PhD / Academic Research |
| Location | Matematiktorvet, 2800 Kgs. Lyngby, Denmark |
| Application Deadline | September 30, 2026 (02:59 PM / 14:59 local time) |
| Application Mode | Online via DTU Candidate Experience Portal |
Research Area
- Multi-Agent Systems & Reinforcement Learning / AI
- Game Theory & Learning in Games (Equilibria analysis, strategic interactions)
- Optimization & Operations Research
- Systems, Control & Applied Mathematics
- Electricity Markets & Energy Economics
Eligibility & Qualifications
- Academic Degree: A two-year Master’s degree (120 ECTS points) or equivalent in Applied Mathematics, Computer Science, Operations Research, Electrical Engineering, Systems & Control, or a closely related field.
- Background Knowledge: A strong background in at least one of the following areas:
- Systems and Control
- Optimization / Operations Research
- Game Theory and Learning in Games
- Multi-agent Systems, Reinforcement Learning, or Artificial Intelligence
- Algorithms / Applied Mathematics
- (Note: Power Systems or Electricity Markets background is advantageous but not a hard requirement).
- Skills: Strong analytical, mathematical, and programming capabilities, with fluency in written and spoken English.
Scholarship Description
- Scope of Work: The PhD candidate will investigate how automated and AI-driven trading agents interact in electricity markets, characterize emerging equilibria and learning dynamics, and formulate market design solutions that enhance grid reliability and economic efficiency.
- Employment Conditions: The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). The allowance will be agreed upon with the relevant union.
- Work Environment: You will be integrated into DTU Compute’s international and collaborative research environment with access to modern computational resources, international research stays, and university pedagogical training.
How to Apply
- Prepare your application materials as PDF files:
- Cover Letter / Motivation Letter explaining your research interests and qualifications.
- Curriculum Vitae (CV) including any publications or projects.
- Academic Transcripts & Diplomas (both Bachelor’s and Master’s degrees).
- References / Letters of Recommendation or contact information for referees.
- Submit your online application directly through the DTU Career Portal by clicking “Apply Now”.
Last Date to Apply
- September 30, 2026 (02:59 PM Danish Time)
