Sergio Grammatico

Two fully funded PhD positions are available at Delft University of Technology (TU Delft) in the field of Systems & Control, Game Theory, and Optimization, supervised by Associate Professor Sergio Grammatico. The research areas include data-driven robust game theory, dynamic game theory for constrained systems, robust optimization, machine learning, variational inequality theory, system theory, model predictive control, and data-driven control. The positions offer a collaborative international research environment, strong mentorship, and opportunities to publish in top journals and conferences. Applicants should have or be near completion of an MSc in Systems & Control, Applied Mathematics, Electrical or Mechanical Engineering, Computer Science, or related fields, with strong analytical and mathematical skills and motivation for rigorous, theory-driven research. The positions are fully funded for four years, covering tuition and providing a stipend. Application materials include a CV, academic transcripts, a short research statement, and contact details of referees. For full details and application instructions, visit the provided link.

A fully funded PhD position is available at Delft University of Technology in the Netherlands, supervised by Professor Sergio Grammatico. The research focuses on data-driven dynamic game theory, with applications in complex systems such as distributed power systems, multi-vehicle automated driving, and human-machine collaboration. The project, titled 'Data-driven Game Theoretic Control for Constrained Systems' (ARGON), is funded by the European Research Council (ERC). The successful candidate will conduct both theoretical and computational research, developing and applying tools from convex-monotone game theory, model predictive control, and data-driven control. The work will involve multi-agent optimization and robust control strategies, with a strong emphasis on mathematical rigor and practical relevance to engineering systems. Applicants should hold (or be close to completing) an MSc degree in Systems and Control, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field. A solid background or interest in systems and control, optimization, and game theory is essential. Proficiency in English is required, while knowledge of Dutch is not necessary. To apply, candidates should prepare a curriculum vitae, a one-page statement of motivation and research interests, transcripts of all exams and degrees (in English), names and contact information for up to three references, and up to three research-oriented documents (such as a thesis or publications). Applications and inquiries should be sent to Prof. Sergio Grammatico at [email protected]. The position will remain open until filled, with a flexible starting date, ideally June 1, 2026. This opportunity is ideal for candidates interested in advanced research at the intersection of mathematics, engineering, and control theory, and who wish to contribute to cutting-edge developments in dynamic game theory and its applications.

Delft University of Technology is offering two fully funded PhD positions in the areas of Optimal Control, Dynamic Game Theory, and Multi-Agent Systems. The positions are part of the European Research Council (ERC) project ARGON and are embedded within a strong, international control and optimization group at TU Delft. PhD Position 1: Robust Game Theory for Complex Systems This position focuses on computational game theory, robust multi-agent optimization, variational inequalities, convex/monotone games, and data-driven robust methods, with applications to complex engineering systems. PhD Position 2: Game-Theoretic Control for Constrained Systems This position centers on dynamic games, game-theoretic control under constraints, data-driven optimal control, feedback equilibrium seeking, and applications to autonomous systems. Candidates should have or be close to completing an MSc in Control, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. A strong background in optimization, control, or game theory is required. Fluency in English is essential; Dutch is not required. The positions offer a 4-year fully funded contract, competitive salary and benefits, and the opportunity to work in an international, high-level research environment with freedom to shape your research agenda. The application deadline is 1 March 2026. Interested candidates should apply via the TU Delft career links provided for each position. For questions, contact Associate Professor Sergio Grammatico. Please share this opportunity with interested MSc students. Keywords: Optimal Control, Dynamic Game Theory, Game Theory, Multi-Agent Systems, Optimization, Robust Game Theory, Control, Computational Game Theory, Variational Inequalities, Autonomous Systems.

PhD opening at Delft University of Technology (TU Delft) in Robust Game Theory for Complex Systems , hosted in the Mechanical Engineering environment and connected to the ERC project ARGON: Data Driven Game Theoretic Control for Constrained Systems . The research sits at the intersection of automatic control , optimization , game theory , robust control , and data-driven control . The project aims to develop new methods for coordinating self-interested, constrained subsystems such as power grids, robots, intelligent machines, and other distributed systems. Topics mentioned in the project description include generalized Nash equilibrium seeking, Lyapunov stability, constrained switched systems, distributionally robust operator theory, feedback control, and scalable computational algorithms. The announcer is Sergio Grammatico , Associate Professor at TU Delft, and the post is clearly a recruitment call for a PhD candidate. The position is associated with the European Research Council (ERC) and the Horizon Europe/ERC funding line through the ARGON project. The post does not specify stipend amount, tuition coverage, or other financial details in the excerpt, but it is presented as a research position within a funded ERC project. Eligibility details are limited in the provided text: the post asks for a talented and motivated PhD candidate and does not list degree class, GPA, language test scores, or other formal requirements in the excerpt. Interested applicants should use the official TU Delft vacancy page linked in the post to review the full requirements and submit the application. Application window/deadline is not stated in the provided content.

Associate Professor Sergio Grammatico at Delft University of Technology (TU Delft), Mechanical Engineering, is recruiting for 1 PhD student and 1 PostDoc researcher in automatic control , optimization , and game theory . The positions are part of the European Research Council (ERC) project “Data driven Game theoretic Control for Constrained Systems” (ARGON) . The research theme is data-driven, distributed, and non-monotone game theory for complex dynamical systems , with strong relevance to control theory, constrained systems, and optimization-based decision making. Applicants should be motivated and interested in interdisciplinary work at the interface of control, optimization, and game theory. The post does not mention a deadline, stipend amount, or specific funding package beyond ERC support. It also does not mention language-test waivers or tuition-related waivers. Application links are provided separately for the PhD and postdoc openings. Interested candidates should review the project details and apply through the relevant TU Delft careers pages.