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].

KTH Royal Institute of Technology invites applications for a doctoral student position in "Autonomous Decentralized Energy Market Design and Analytics" within the Division of Decision and Control Systems. This research opportunity addresses the transformation of the electrical power grid, driven by digitalization, deregulation, and the integration of renewable energy resources. The project focuses on the development of next-generation decentralized energy markets, enabling local energy communities and peer-to-peer trading platforms to enhance flexibility, autonomy, and fairness in electricity access. The doctoral research will tackle key challenges such as the computational complexity of large-scale decentralized markets, uncertainty from renewable generation, and the need for operational feasibility and fairness among diverse participants. The work will blend optimization, game theory, control, and data-driven learning methods to create new mathematical models and algorithms. Research topics include stochastic and data-driven modeling of peer-to-peer energy trading, learning-to-optimize (L2O) for multi-agent systems, bilevel games and mechanism design for fair pricing, and the design and analysis of decentralized energy markets. Supervision will be provided by Assistant Professor Giuseppe Belgioioso and Professor Henrik Sandberg. The successful candidate will join a dynamic research group at KTH, contributing to both fundamental and computational advances in energy market design. The position offers full-time employment for up to four years, with a monthly salary according to KTH’s doctoral student salary agreement and access to employee benefits. Eligibility requires a second cycle degree (such as a master's) or equivalent, with at least 240 higher education credits (including 60 at the second cycle), and English proficiency equivalent to English B/6. Applicants should be highly motivated, goal-oriented, able to work independently and collaboratively, and capable of analyzing complex issues. At least one academic or professional reference is required, and personal skills are emphasized in the selection process. To apply, submit your application through KTH's recruitment system, including certified copies of diplomas, grades, proof of language proficiency, CV, motivation letter, and references. The application deadline is January 15, 2026. For further information, contact Assistant Professor Giuseppe Belgioioso at [email protected]. KTH is a leading international technical university committed to advancing sustainable society through education, research, and innovation. The university offers a creative and dynamic environment, good working conditions, and attractive benefits, with a strong commitment to equality, diversity, and equal opportunities.

The Department of Decision and Control Systems at KTH Royal Institute of Technology invites applications for a postdoctoral position in networked control systems. This research opportunity is ideal for candidates with a strong background in mathematics, modeling, and networked control systems, and offers the chance to contribute to the development of novel mathematical and computational tools for the fundamental understanding and engineering design of emerging networked control systems. The project emphasizes learning and resilient cyber-physical systems, and is supervised by Professors Henrik Sandberg and Karl Henrik Johansson. The department is renowned for its fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems, and maintains strong industrial collaborations with partners such as ABB, Ericsson, and Scania. Research funding is provided by the Swedish Research Council, WASP, Digital Futures, Vinnova, Swedish Energy Agency, and the EU, ensuring a robust and dynamic research environment. The department also boasts an extensive academic network, collaborating with leading institutions including Imperial College, Oxford, ETH, Caltech, MIT, and UC Berkeley. Applicants must hold a doctoral degree or an equivalent foreign degree, with significant, documented research expertise in networked control systems, cyber-physical security, machine learning theory, or applied mathematics. The position is intended as a first career step after dissertation and is offered for up to two years, focusing mainly on research. Preferred qualifications include a doctoral degree obtained within the last three years, teaching abilities, documented supervision of student work, and awareness of diversity and equal opportunity issues, particularly gender equality. Personal skills such as motivation, independence, and collaborative ability are highly valued. To apply, candidates should log into KTH's recruitment system and submit a complete application by the deadline. Required documents include a CV, diplomas and grades, translations if necessary, a brief research statement, three relevant scientific publications, and contact information for at least three references. The position offers a monthly salary and attractive benefits, with good working conditions in a creative and dynamic environment. For further information about the department and research activities, visit www.kth.se/dcs . The application deadline is February 18, 2026. For questions, contact Professors Henrik Sandberg ([email protected]) or Karl Henrik Johansson ([email protected]). Apply online at KTH's recruitment portal .