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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

Doctoral candidate employment for 4 years in principle, split into an initial 1.5-year contract and a subsequent 2.5-year contract subject to a go/no-go assessment and performance. Salary ranges from €3059 to €3881 gross per month based on full-time employment (38 hours/week), plus 8% holiday allowance and an 8.3% end-of-year bonus. TU Delft also offers a customizable compensation package, health insurance discounts, and a monthly work costs contribution.

Deadline

Sep 30, 2026

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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Machine Learning
Environmental Science
Agriculture
Mechanical Engineering
Electrical Engineering
Biology
Mathematics
Artificial Neural Network
Optimisation
Controlled Environment Agriculture
Control System
Applied Mathematic

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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

Doctoral candidate employment for 4 years in principle, split into an initial 1.5-year contract and a subsequent 2.5-year contract subject to a go/no-go assessment and performance. Salary ranges from €3059 to €3881 gross per month based on full-time employment (38 hours/week), plus 8% holiday allowance and an 8.3% end-of-year bonus. TU Delft also offers a customizable compensation package, health insurance discounts, and a monthly work costs contribution.

What's required

Completed relevant MSc degree in systems and control, applied mathematics, engineering, or a related field. Strong background or interest in systems and control, applied mathematics, machine learning, and affinity with biological systems applications. Experience conducting, designing, or managing experiments for physical or biological systems is preferred but not required. English proficiency is required for PhD study at TU Delft.

How to apply

Apply online via the application button no later than 30 September 2026. Upload a CV, a one-page motivation letter, one or two research-oriented documents, and transcripts for BSc and MSc degrees with grades. If invited for interview, provide names and email addresses of two referees.

More information can be found here

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