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Delft University of Technology

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PhD Position in Chaotic Sampling for Secure and Sustainable Networked Control Systems Delft University of Technology in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral employment for 4 years in principle, split into an initial 1.5-year contract with a go/no-go assessment and a subsequent 2.5-year contract if progress is satisfactory. Salary ranges from €3204 to €4051 gross per month over the four years for a full-time 38-hour contract, plus 8% holiday allowance and an 8.3% end-of-year bonus. Includes enrollment in the TU Delft Graduate School, discounts on health insurance, and a monthly work costs contribution.

Deadline

Oct 23, 2026

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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Theoretical Computer Science
Mathematical Modeling
Nonlinear Dynamics
Optimisation
Event-triggered Control
Programming Language
Control System
Physics

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About this position

PhD position at Delft University of Technology (TU Delft) in the Netherlands on chaotic sampling for secure and sustainable networked control systems.

This theory-centric project studies how event-based control and chaotic sampling can reduce communication, improve energy efficiency, and make transmission timing harder to predict for external observers. The research combines systems and control, nonlinear dynamics, optimization, and theoretical computer science, with a strong focus on mathematical analysis, proofs, and computational algorithms. Possible outcomes include open-source software, simulation-based validation, and optional experimental demonstration on a wireless lab-scale control system.

The position is supervised by Gabriel de Albuquerque Gleizer at the Delft Center for Systems and Control, within the Faculty of Mechanical Engineering. Teaching is part of the PhD trajectory but limited to about 20% of the appointment.

Eligibility highlights: an MSc in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics, theoretical computer science, or a closely related field; strong mathematical ability; solid linear algebra and differential equations; scientific programming skills; and excellent English. Experience with stability analysis, state-space methods, jump-flow systems, LTI systems, modeling, optimization, numerical computation, algorithm development, machine learning, or nonlinear dynamics is a plus.

Funding and conditions: 4-year doctoral employment in principle, with salary from €3204 to €4051 gross per month, plus holiday allowance and end-of-year bonus. TU Delft also offers health insurance discounts, a monthly work costs contribution, and support for relocation to the Netherlands.

Deadline: 23 October 2026. Apply online and upload your CV, cover letter, research documents, and BSc/MSc transcripts.

Funding details

Doctoral employment for 4 years in principle, split into an initial 1.5-year contract with a go/no-go assessment and a subsequent 2.5-year contract if progress is satisfactory. Salary ranges from €3204 to €4051 gross per month over the four years for a full-time 38-hour contract, plus 8% holiday allowance and an 8.3% end-of-year bonus. Includes enrollment in the TU Delft Graduate School, discounts on health insurance, and a monthly work costs contribution.

What's required

Applicants need 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, motivation for theory-driven research, ability to develop rigorous mathematical arguments, curiosity about chaos, nonlinear dynamics, and unpredictability, solid foundations in linear algebra and differential equations, proficiency in scientific programming, and excellent English are required. Background in systems and control, stability analysis, state-space methods, jump-flow systems, continuous-time/discrete-time LTI systems, mathematical modeling, optimization, numerical computation, algorithm development, machine learning, nonlinear dynamics, dynamical systems theory, networked control systems, event-based control, discrete-event systems, or theoretical computer science is advantageous but not required.

How to apply

Apply online via the application button by 23 October 2026. Upload a CV, a brief cover letter, one or two research-oriented documents, and transcripts for your BSc and MSc degrees with grades. Address the application to Dr. Gabriel Gleizer; do not apply by email or post.

More information can be found here

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