Delft University of Technology
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PhD in Control Theory for Self-Designing Digital Twins of Transportation 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 and a subsequent 2.5-year contract subject to a positive go/no-go assessment and performance. Salary ranges from €3204 to €4051 gross per month over the four years, plus 8% holiday allowance and an 8.3% end-of-year bonus. TU Delft also offers a customizable compensation package, discounts on health insurance, and a monthly work costs contribution.
Deadline
Oct 14, 2026
Country
Netherlands
University
Delft University of Technology

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About this position
PhD position at Delft University of Technology (TU Delft) in the Delft Centre of Systems and Control (DCSC), Faculty of Mechanical Engineering, focused on control theory, digital twins, transportation systems, and systems and control.
The project studies self-designing digital twins for infrastructure systems, with an emphasis on formal mathematical contracts, autonomous controller configuration, verification, and the stability of interconnected digital twins. Research topics include model predictive control (MPC), reinforcement learning (RL), federated and scenario/sampling-based contract composition, optimization, and advanced simulation of transportation systems (including work toward TU Delft’s state-of-the-art digital twin based on SUMO).
You will be supervised by Carlo Cenedese and Manuel Mazo at DCSC. The position sits in a strong research environment in systems dynamics, advanced control theory, optimization, signal analysis, and smart mobility.
Eligibility highlights: an MSc in systems and control, applied mathematics, electrical engineering, computer science, or a related field; basic knowledge of control theory and/or machine learning and/or digital twin technologies (or strong theoretical computer science, optimization, or mobility systems background); strong analytical ability; good Python programming skills; and good English communication skills.
Funding and conditions: 4-year PhD employment in principle, with salary from €3204 to €4051 gross per month, plus holiday allowance and end-of-year bonus. TU Delft also provides health insurance discounts, a monthly work costs contribution, and relocation support.
Application deadline: 14 October 2026. Apply online and upload a motivation letter, CV, BSc and MSc transcripts, and a writing sample. Applications by email or post will not be processed.
Funding details
Doctoral employment for 4 years in principle, split into an initial 1.5-year contract and a subsequent 2.5-year contract subject to a positive go/no-go assessment and performance. Salary ranges from €3204 to €4051 gross per month over the four years, plus 8% holiday allowance and an 8.3% end-of-year bonus. TU Delft also offers a customizable compensation package, discounts on health insurance, and a monthly work costs contribution.
What's required
An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or a related field is required. Applicants should have basic knowledge of control theory and/or machine learning and/or digital twin technologies, though this may be waived for candidates with strong skills in theoretical computer science, optimization, or mobility systems. Strong analytical skills are needed, along with the ability to work across control theory, computer science, and transportation engineering. Good programming skills, especially Python, are expected, and good English communication skills are required.
How to apply
Apply online via the application button by 14 October 2026. Upload a 1-page motivation letter and CV, academic transcripts for both BSc and MSc degrees, and a writing sample such as part of your MSc thesis, a scientific report, or a paper. Address the application to Dr. Carlo Cenedese and do not send applications by email or post.
More information can be found here
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