PhD in Autonomous Digital Twins for Transport Systems

Delft

Delft

On-site

EUR 36,000 - 45,000

Full time

3 days ago
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Job summary

PhD position at TU Delft in Delft focuses on Control Theory for Self-Designing Digital Twins of Transportation Systems. You will explore autonomous design of contracts, parametrize controllers, and verify control policies like MPC and RL for digital twins of transportation networks (SUMO-based).

Working at the Delft Centre of Systems and Control (DCSC), supervised by Carlo Cenedese & Manuel Mazo, you will contribute to fundamental research in systems dynamics, control, optimisation, and AI for

Qualifications

  • 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 digital twin technologies.
  • Strong analytical skills and ability to work at the intersection of several research domains, in particular control theory, computer science, and transportation engineering.

Responsibilities

  • Develop a framework for autonomous design of formal mathematical contracts for digital twins.
  • Design methods to automatically choose the right parametrization of controllers to autonomously configure them to the abstract classes, ensuring stability and performance.
  • Theorize and verify complex control policies such as MPC and RL for self-designing digital twins.
  • Study the effect of interconnecting digital twins of different systems and the effect on their stability.

Skills

Control theory basics
Analytical skills
Python programming
English communication

Education

MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or related fields

Job description

PhD position at TU Delft in Delft focuses on Control Theory for Self-Designing Digital Twins of Transportation Systems. You will explore autonomous design of contracts, parametrize controllers, and verify control policies like MPC and RL for digital twins of transportation networks (SUMO-based).

Working at the Delft Centre of Systems and Control (DCSC), supervised by Carlo Cenedese & Manuel Mazo, you will contribute to fundamental research in systems dynamics, control, optimisation, and AI for

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