Two doctoral student positions at the Division of Decision and Control Systems, KTH Royal Institute of Technology.
Project description
We are in the midst of an unprecedented transformation of the engineering infrastructures that uphold our technological civilization, such as energy and transportation systems. Driven by technological advances, societal needs, and environmental concerns, these complex systems are expanding in scale, becoming more digital, interconnected, autonomous, and decentralized. While these transformative trends offer limitless opportunities to enhance efficiency and sustainability of engineering infrastructure systems, they also introduce significant challenges in ensuring reliability and fairness, thus demanding innovative solutions.
The Division of Decision and Control Systems is seeking two PhD candidates to work at the intersection of optimization, game theory, and automatic control, for the analysis, modeling, and control of complex systems, such as energy and transportation. The project will involve developing both mathematical foundations, namely, innovative algorithmic and control methodologies, and engineering solutions, namely, their adaptation to practical application domains. The project will target one or more of the following areas of research:
- Adaptive online optimization using data streams
- Incentive design in large-scale infrastructure systems
- Defining, measuring, and operationalizing fairness in control architectures
- Data-driven predictive control for large-scale systems
Supervision: Assistant Professor Giuseppe Belgioioso is proposed to supervise the doctoral student.