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.

A fully-funded PhD position is available at the Technical University of Denmark (DTU), Department of Applied Mathematics and Computer Science, in Copenhagen, Denmark. The research focuses on leveraging Artificial Intelligence, Mathematical Optimization, and Game Theory to improve the efficiency of modern electricity markets, with the goal of reducing energy costs and greenhouse emissions while ensuring reliable power supply. The successful candidate will join an international and friendly research environment and will have the opportunity for an extended research stay at EPFL, Switzerland, working alongside Dr. Maryam Kamgarpour. Applicants should have expertise in one or more of the following: Mathematical Optimization, Operations Research, Reinforcement Learning, Machine Learning, Multi-agent systems, Game Theory, Algorithms, Computer Science, Electricity Markets, or Power Systems. Strong programming skills in Python or Julia and excellent English proficiency are required. The position is fully funded, covering tuition and providing a stipend. Applications are reviewed continuously, but the final deadline is September 30, 2024. All applications must be submitted through the official DTU portal linked in the post.