KTH Royal Institute of Technology is offering a PhD position in the area of Autonomous Decentralized Energy Markets, with a focus on optimization, game theory, and control systems. The position is part of the VR Starting Grant project led by Assistant Professor Giuseppe Belgioioso, with co-supervision by Professor Henrik Sandberg. The research group is based in the Division of Decision and Control Systems within the School of Electrical Engineering and Computer Science.

The project aims to develop the next generation of decentralized energy markets by leveraging advanced optimization, game theory, and control techniques. Key research topics include stochastic models for decentralized energy trading, learning-enhanced market-clearing algorithms, mechanism design, and bilevel games for fair pricing. The work addresses both fundamental and computational challenges, such as the complexity of large-scale decentralized markets, uncertainty from renewable energy sources, and ensuring fairness and efficiency for diverse participants.

Applicants should have a strong background in electrical engineering, computer science, mathematics, or related fields. Requirements include a second-cycle degree (master's or equivalent), proficiency in English (English B/6), and demonstrated motivation for doctoral studies. Candidates should be able to work independently and collaboratively, analyze complex issues, and provide references. The application must include diplomas, transcripts, proof of language proficiency, CV, motivation letter, and references.

The position is a full-time, salaried doctoral student employment according to KTH's doctoral student salary agreement, with a duration of up to four years and possible annual renewals. The role includes employee benefits and a monthly salary. The research is funded by the Swedish Research Council and is part of the WASP community, reflecting strong support for artificial intelligence, autonomous systems, and software research in Sweden.

Applications are to be submitted through KTH's recruitment system by January 15, 2026. For more information, visit the official job advertisement or contact Assistant Professor Giuseppe Belgioioso at [email protected].