PhD in Chaotic Sampling for Green, Secure Networked Control

Delft; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

TU Delft invites applications for a PhD position on chaotic sampling for secure and sustainable networked control systems. You will develop mathematical theory, study chaotic sampling behavior, and design strategies that balance stability and timing unpredictability.

Supervised by Gabriel de Albuquerque Gleizer, the project spans nonlinear dynamics, optimization, and theoretical computer science, with potential experimental demonstrations and up to 20% teaching duties.

Qualifications

• Strong enthusiasm for mathematics and abstraction, with the drive for theory-driven research.
• Ability to develop rigorous mathematical arguments and proofs.
• Curiosity about chaos, nonlinear dynamics, and unpredictability.
• Solid foundations in linear algebra and differential equations.

Responsibilities

• Develop mathematical theory for chaotic sampling in networked control systems.
• Compute methods and conditions for stability and unpredictability.
• Assess robustness to disturbances and potential learning from observations.
• Contribute to open-source software and simulations.

Skills

Mathematics

Abstraction

Chaos theory

Scientific programming

Education

MSc in systems & control

MSc in electrical/mechanical engineering

Tools

Python

MATLAB

Job description

TU Delft invites applications for a PhD position on chaotic sampling for secure and sustainable networked control systems. You will develop mathematical theory, study chaotic sampling behavior, and design strategies that balance stability and timing unpredictability.

Supervised by Gabriel de Albuquerque Gleizer, the project spans nonlinear dynamics, optimization, and theoretical computer science, with potential experimental demonstrations and up to 20% teaching duties.