Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Wageningen University & Research
1 month ago
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Postdoc in Self-Supervised Learning for Image-Based Phenotyping at Wageningen University & Research Wageningen University & Research in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Jun 23, 2026
Country
Netherlands
University
Wageningen University & Research

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About this position
Wageningen University & Research is advertising a Postdoc position in Self-Supervised Learning for Image-Based Phenotyping in Wageningen, Netherlands.
The project sits at the intersection of computer science, machine learning, computer vision, statistics, agriculture, and biology, with a strong focus on digital phenotyping, foundation models, and plant breeding. The research aims to develop next-generation AI methods for large-scale, multi-temporal plant image datasets, using quinoa as a model and target crop. The work is part of the PHENOM project and is carried out in collaboration with industry partner Radicle Crops.
The postdoctoral researcher will design self-supervised learning approaches for UAV and other plant image data, extract robust and interpretable representations of plant traits, and support predictive breeding pipelines. The role includes research, publication, conference presentations, and collaboration with interdisciplinary partners to translate methods into practical breeding applications.
The position is embedded in the chair Artificial Intelligence led by Prof. Ioannis Athanasiadis, with co-supervision by Prof. Ricardo da Silva Torres and Prof. Ioannis Athanasiadis. Applicants should hold a PhD in AI, computer science, statistics, engineering, or a related field, and have experience in applied machine learning. Skills in Python, PyTorch, Scikit-Learn, Git, and HPC are desirable. Experience with plant breeding or self-supervised learning is a plus. English proficiency at C1 level is expected.
The appointment is for 2 years (1+1) with a gross monthly salary of €3,546–€5,538 for a full-time 38-hour week, plus standard WUR employment benefits. Applications must be submitted through the official WUR website.
Deadline: 23 June 2026.
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.
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