Delft University of Technology
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PhD in Learning and Control for Complex Large-Scale Systems with Applications in Greenhouses Delft University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 30, 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 Faculty of Mechanical Engineering, focused on learning and control for complex large-scale systems with applications in greenhouses and controlled environment agriculture.
The project is part of GreenControl, a consortium involving TU Delft, Wageningen University, University of Twente, TU Eindhoven, and industrial partners. The research aims to move from average climate control to crop-centric control using microclimate sensing, crop modelling, and data-driven/model-based control to improve photosynthesis efficiency and reduce energy use and costs.
Core research topics include systems and control, applied mathematics, machine learning, PDEs, Koopman operators, SINDy, neural networks, reduced-order hybrid model learning, optimal sensor and actuator placement, and predictive control for airflow, CO2 dosing, heating, lighting, and ventilation under fluctuating energy prices.
The position is suitable for candidates with a relevant MSc degree in systems and control, applied mathematics, engineering, or a related field. A strong interest in control theory, machine learning, and biological system applications is expected; experimental experience with physical or biological systems is a plus.
Funding is through a 4-year PhD employment contract at TU Delft, with salary from €3059 to €3881 gross per month plus holiday allowance and end-of-year bonus. The candidate will join the TU Delft Graduate School and work with an international team of supervisors and consortium partners.
Deadline: 30 September 2026. Apply online and upload a CV, motivation letter, research-oriented writing sample(s), and BSc/MSc transcripts. If shortlisted, you will also need to provide two referees with email addresses.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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