Two postdoc positions at the Division of Decision and Control Systems at KTH Royal Institute of Technology.
Job description
The challenge:
Energy, transportation, and other critical infrastructures are undergoing an unprecedented shift in scale, autonomy, and decentralization. These transformations bring vast opportunities to improve efficiency and sustainability but also pose serious challenges in ensuring their reliability and fairness. Addressing these societal-scale challenges demands for novel optimization and control methodologies that can meet their inherent complexities.
Your role:
The Division of Decision and Control Systems is seeking two postdocs to join our team under Prof. Giuseppe Belgioioso’s supervision. The successful candidate will conduct research at the intersection of optimization, game theory, and automatic control for complex systems. Their work will encompass both the mathematical foundations of these fields — e.g., designing innovative algorithms and control strategies — as well as the development of technical solutions to adapt these new methods to practical applications in the areas of energy and mobility. The research project will address one or more of the specific research areas in the following (non-exhaustive) list:
- Online feedback optimization
- Game-theoretic control (e.g., game-theoretic MPC)
- Hierarchical game theory for incentive design
- Defining, measuring, and operationalizing fairness in control methods
- Predictive control for large-scale systems
- Theory of control architectures