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University of Montpellier

PhD in Agronomic Sciences: Multi-scale Modeling of Fruit Tree Yield from Images University of Montpellier in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

University of Montpellier

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Keywords

Computer Science
Data Science
Environmental Science
Agriculture
Plant Biology
Biology
Artificial Intelligence
Computer Vision
Agroecology
Geometric Modeling
Statistics

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About this position

Call for applications for a PhD (doctorat) in Agronomic Sciences in France, associated with University of Montpellier and CIRAD.

The project is titled “Multi-scale modeling of fruit tree yield from images”. The research aims to develop models based on computer vision and artificial intelligence to estimate performance components from images. This is a strong fit for candidates interested in digital agriculture, modeling, fruit tree yield, agroecology, and horticultural systems.

Eligibility highlights: applicants should hold a Master's degree or equivalent in agronomy, plant science, data science, or a related field. Data analysis or programming skills are preferred, and the post emphasizes motivation for research in agroecology and horticultural systems.

Funding: not specified in the post.

Application: the post links to the announcement on LinkedIn; interested candidates should review the call details and apply through the CIRAD/University of Montpellier recruitment route.

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.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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