PhD in Data-Driven Control for Smart Greenhouses

Delft; Delft; On-site; EUR 34,000 - 43,000; Full time

Benefits offered by this job

Dual Career Programme

Discounts on health insurance

Monthly work costs contribution

Job summary

PhD Position Learning and Control for Complex Large-Scale Systems with Applications in Greenhouses at TU Delft is focused on developing learning-based and model-based control strategies for climate and energy optimization in controlled environments.

Join a consortium including TU Delft and partner universities to advance crop-centric control, with experiments, simulations, and real-world greenhouse demonstrators.

Qualifications

• Completed a 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.
• Some experience conducting, designing, and/or managing experiments for physical/biological systems is preferred, but not required.

Responsibilities

• Develop learning and control methods for complex large-scale greenhouse systems.
• Carry out research within the GreenControl project to enable crop-centric control.
• Design and validate control-oriented models and data-driven control algorithms.
• Collaborate with consortium partners and participate in experiments and trials to validate control concepts.
• Publish results and contribute to doctoral research outputs.

Skills

Systems and control

Mathematical modeling

Experiment design

Education

MSc in systems and control

Job description

PhD Position Learning and Control for Complex Large-Scale Systems with Applications in Greenhouses at TU Delft is focused on developing learning-based and model-based control strategies for climate and energy optimization in controlled environments.

Join a consortium including TU Delft and partner universities to advance crop-centric control, with experiments, simulations, and real-world greenhouse demonstrators.