PhD Position Chaotic Sampling for Secure and Sustainable Networked Control Systems

Official university vacancy imported from Delft University of Technology. Details are presented for discovery and may change. Confirm the latest requirements and apply on the official source.

• An MSc degree in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics, theoretical computer science, or a closely related field.
• Strong enthusiasm for mathematics and abstraction, matched with the motivation to conduct theory-driven research, the ability to develop rigorous mathematical arguments, and a drive to improve these skills.
• Curiosity about chaos, nonlinear dynamics, and unpredictability.
• Solid foundations in linear algebra and differential equations.
• Proficiency in scientific programming and an excellent command of English.
• Background in systems and control. For example, familiarity with stability analysis, state-space methods, jump-flow systems, or continuous-time and discrete-time LTI systems theory is a plus.
• Experience with mathematical modeling, optimization, numerical computation, algorithm development, or machine learning.
• Prior knowledge on nonlinear dynamics, dynamical systems theory, networked control systems, event-based control, discrete-event systems, or theoretical computer science is not a requirement, but it is an advantage.
• A curriculum vitae (CV) that states your education and relevant working experience.
• A brief cover letter describing your interest and background in the topic (no more than 1 page).
• One or two research-oriented documents written by you (e.g., MSc thesis, journal/conference publication, project report).
• Transcript for your BSc and MSc degrees including grades for courses.
• You can apply online. We will not process applications sent by email and/or post.
• Please do not contact us for unsolicited services.