Join the research group of Associate Professor Georgios Tsaousoglou at the Technical University of Denmark (DTU) for a PhD position focused on electricity markets in the era of AI-driven trading strategies. This opportunity is based at DTU's Department of Applied Mathematics and Computer Science in Copenhagen, Denmark, and offers the chance to conduct cutting-edge research at the intersection of artificial intelligence, mathematical optimization, and game theory.

The research aims to make power systems more efficient, reduce energy costs and greenhouse emissions, and ensure system safety. The group provides a stimulating, international, and collaborative environment, ideal for students interested in applying advanced computational and mathematical techniques to real-world energy challenges.

Key academic keywords include electricity markets, artificial intelligence, mathematical optimization, game theory, reinforcement learning, machine learning, multi-agent systems, algorithms, computer science, and power systems. Applicants should have a strong background in one or more of these areas, along with excellent programming skills (Python, Julia, etc.) and proficiency in English.

The application deadline is March 6th, 2026. For full details and to apply, visit the DTU Career Site using the provided links. This position is ideal for candidates passionate about leveraging AI and optimization to address critical issues in energy systems and sustainability.