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Wageningen University & Research

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

Postdoctoral position for 2 years (1+1) at Wageningen University & Research. Salary is €3,546–€5,538 gross per month for a full-time 38-hour week (scale 10 under CAO-NU). A 0.8 FTE contract can be discussed. The role includes excellent employment terms such as year-end bonus, pension scheme, leave options, and other employee benefits.

Deadline

Expired

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Country

Netherlands

University

Wageningen University & Research

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Keywords

Computer Science
Machine Learning
Environmental Science
Agriculture
Electrical Engineering
Biology
Plant Breeding
Computer Vision
Self-supervised Learning
Statistics

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

Postdoctoral position for 2 years (1+1) at Wageningen University & Research. Salary is €3,546–€5,538 gross per month for a full-time 38-hour week (scale 10 under CAO-NU). A 0.8 FTE contract can be discussed. The role includes excellent employment terms such as year-end bonus, pension scheme, leave options, and other employee benefits.

What's required

A successfully completed PhD in artificial intelligence, computer science, statistics, engineering, or a similar relevant field is required. Applicants should have demonstrated experience in applied machine learning; a background or interest in machine learning, computer vision, or time-series analysis is desirable. Experience with plant breeding or self-supervised learning is a strong plus. Proficiency in Python and experience with PyTorch, Scikit-Learn, or similar libraries is expected, along with familiarity with Git and HPC clusters as an advantage. Strong scientific writing and communication skills are required, and English proficiency at C1 level is expected; an internationally recognized English certificate may be requested.

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