PhD in Chaotic Sampling for Secure and Sustainable Networked Control Systems

Original title: PhD Position Chaotic Sampling for Secure and Sustainable Networked Control Systems

• 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.