Are you passionate about mathematical systems and control theory? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a European Union-wide Doctoral Network funded by the Marie Skłodowska-Curie Actions (MSCA). This advertisement focuses on the position (DC3) hosted at the Dynamics and Control section, Department of Mechanical Engineering, Eindhoven University of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website
http://www.secresy4you.eu.
InformationWe invite highly motivated students with a strong background in mathematical systems and control theory, and optimization to apply for the PhD position within the
Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology, the Netherlands. The mission of the
Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future:
Designing and realizing smart autonomous systems for industry and society.This PhD position focuses on designing control laws for hybrid dynamical systems (cyber-physical systems) which are resilient under adversarial conditions to satisfy complex specifications. Autonomous systems such as self-driving vehicles and medical robots, need to satisfy stringent stability and performance specifications. This PhD will develop verification and synthesis methods for the resilient control of hybrid dynamical systems.
In addition to a strong background in linear systems and control theory, you must have a keen interest in nonlinear and hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must.
This PhD position is part of a European wide Doctoral network on the security and resilience of critical cyber physical systems –
SecReSy4You, funded by the Marie Skłodowska-Curie Actions Doctoral Networks scheme (
https://secresy4you.eu). You will be one of the 10 doctoral candidates, hosted across 9 academic institutions throughout Europe (2 PhDs will be hosted at the dynamics and control section in TU/e). The doctoral candidates will collaborate on modeling threat actors, developing scalable AI-based monitoring and control systems, and designing strategies to ensure long-term CPS protection. Through a comprehensive training program combining technical expertise with transferable skills, they will be well-prepared for careers in this rapidly evolving field.
SecReSy4You will drive innovation in CPS security through cutting-edge research, industry collaboration, and the development of practical tools tailored to real-world challenges. The network brings together leading research institutions and companies from Austria, Cyprus, Estonia, Germany, Italy, Spain, Sweden, and the Netherlands. It comprises 10 closely connected research projects and a joint doctoral training program.
Additionally, you will have access to the graduate courses at the Dutch Institute of Systems and Control (
DISC). By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications.
This PhD is supervised by Michelle Chong and Nathan van de Wouw.
Your responsibilities and duties include:
- Interdisciplinary research on CPS resilience and security with a focus on resilient control for hybrid dynamical systems.
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Publication of scientific results in top journals and at flagship conferences.
- Contributions to network-wide events. Perform academic and industrial secondments.
- Contributions to teaching tasks (minimum of 10% of your four-year employment, and a maximum of 15% per year of your employment).