Job offer

• Interdisciplinary research on CPS resilience and security with a focus on resilient control for hybrid dynamical systems.
• 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).

We 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., Specific Requirements

• A master's degree (or an equivalent university degree) in systems and control, mechanical engineering, electrical engineering or applied mathematics.
• The MSCA mobility rule requires applicants to not have resided or carried out their main activity (work, studies, etc.) in the country of their host organization for more than 12 months in the 3 years immediately prior to the recruitment date.
• Strong background in mathematical systems and control theory.
• Keen interest in hybrid dynamical systems, control and cyber security.
• Knowledge of at least one programming language: Matlab, Python, is expected.
• Eager to work within a team and independently.
• Ability to collaborate with industry and academic researchers.
• Fluent in spoken and written English.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on-campus TU/e Student Sports Center at an exceptionally affordable rate, for you and, if applicable, your partner.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Selection process

We invite you to submit a complete application by using the apply button. The application should include the following documents as a single PDF file:

• Curriculum vitae, including a list of your publications (if applicable) and the contact information of references.
• An explanation of your interest in the proposed research topic.
• Copies of diplomas and academic transcripts with grades from prior university studies.
• Brief description of your MSc thesis and/or relevant research projects.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled. Additional comments

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.