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Wouter Saeys

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PhD position on Laser Scatter Imaging for Plant Stress Detection in Greenhouse Crops KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Apr 2, 2026

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Country

Belgium

University

KU Leuven

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Agriculture
Electrical Engineering
Biology
Plant Physiology
Computer Vision
Biophotonics
Hyperspectral Imaging
Optical Sensor
Chemometric
Physics
bio engineering
Machine learning

About this position

The MeBioS research unit at KU Leuven is offering a PhD position focused on the development of laser scatter imaging techniques for early detection of plant stress in greenhouse crops, primarily tomatoes. The research is embedded within the Biophotonics group, which specializes in innovative optical sensor technologies and advanced data analysis methods to monitor and control the quality of biological products and processes, with a strong emphasis on applications in precision agriculture.

This project aims to design and implement a camera-based multispectral laser scattering imaging setup, optimized for measuring plant leaves. By capturing and analyzing laser scatter images at different wavelengths, the research will untangle the effects of light scattering and absorption, which are linked to plant microstructure and pigmentation. The ultimate goal is to develop a functional prototype sensor capable of detecting subtle stress responses in plants, enabling timely adjustments in greenhouse management for optimized crop yield and resource use.

The successful candidate will be responsible for developing the imaging setup, analyzing scatter images to extract relevant plant physiological information, and validating the sensor prototype in both laboratory and greenhouse conditions. The project involves interdisciplinary collaboration, combining expertise in optics, photonics, machine learning, computer vision, and crop science.

Applicants should hold a MSc degree in Engineering (bioscience, electrical, optical) or Science (physics, photonics), possess strong analytical and hands-on skills, and be proficient in programming (Matlab/Python for data processing, Labview for control software). Excellent communication skills and fluency in English are required. The position offers a full-time contract for one year, renewable up to four years upon positive evaluation, with remuneration according to KU Leuven salary scales. The research environment provides state-of-the-art infrastructure, high-level scientific training, and the opportunity to work in a dynamic, multidisciplinary team at a top-ranked university.

For further information, candidates may contact Prof. dr. ir. Wouter Saeys or dr. ir. Annelies Postelmans. Applications should be submitted via the KU Leuven jobsite before the deadline. KU Leuven is committed to diversity, inclusion, and equal opportunity in its academic community.

Funding details

Available

What's required

Applicants must hold a MSc degree in Engineering (bioscience, electrical, optical) or in Science (physics, photonics). Strong interest in greenhouse farming and plant stress detection is a plus. Candidates should have an analytical mind for modeling light-plant tissue interactions, experience in processing scatter images, and translating results to plant stress status. Hands-on skills for sensor prototype design and control software development are required. Programming skills in Matlab/Python for data processing and Labview for setup control are necessary. Candidates should be proactive in communication, able to work independently, and fluent in written and spoken English.

How to apply

Apply via the KU Leuven jobsite using the provided application link. Contact Prof. dr. ir. Wouter Saeys or dr. ir. Annelies Postelmans for more information. Ensure your application is submitted before the deadline.

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