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PhD position

PhD Position Control Theory for Self-Designing Digital Twins of Transportation Systems

Delft University of Technology · Delft, Netherlands

Posted · Deadline:

At a glance

Opportunity
PhD position
Location
Delft, Netherlands
Funding / pay
paid
Application source
AcademicTransfer

Project summary

  • You will develop a framework for the autonomous design of formal mathematical contracts, based on the system description and functional requirements. This will lead to the creation of abstract classes used to describe the digital twin.
  • You will then design methods for automatically choosing the right parametrization of controllers to autonomously configure them to the abstract classes, ensuring stability and performance based on the requirements and specifications, e.g. via federated, scenario/sampling-based contract compositions.
  • Additionally, you will theorize how to design and verify complex control policies such as MPC and RL.
  • Additionally, you will study the effect of interconnecting digital twins of different systems and the effect on their stability.
  • An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or related fields.
  • Basic knowledge of control theory and/or machine learning and/or digitl twin technologies (waived if the candidate is particularly skilled on theoretical computer science, optimization, or mobility systems).
  • Strong analytical skills and an ability to work at the intersection of several research domains, in particular control theory, computer science, and transportation engineering.
  • Good programming skills are expected, in particular Python. Knowledge of other programming lenguages is not mandatory but apprecated.
  • Good command of the English language and good communication skills.
  • (pdf 3) A (part of your) M.Sc. thesis, a scientific report, or a paper that you have written, in which you demonstrate your writing skills
  • You can apply online. We will not process applications sent by email and/or post.
  • Please do not contact us for unsolicited services.

Application documents

  • (pdf 1) 1-page Motivation letter and your CV
  • (pdf 2) Academic transcripts of both your BSc and MSc degrees

Before you apply

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CV, motivation letter, and supervisor email templates

How to apply

Apply via AcademicTransfer before 14 Oct 2026. Confirm the current requirements there.

Source and listing information

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