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Computer Vision Center

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Postdoctoral Researcher in AI for Agriculture and Multimodal Foundation Models Computer Vision Center in Spain

Degree Level

Postdoc

Field of study

Computer Science

Funding

A postdoctoral research position within the Horizon Europe project AgriScienceFM. The post does not specify stipend, salary, or tuition details in the text provided.

Deadline

Oct 7, 2026

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Country

Spain

University

Computer Vision Center

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Keywords

Computer Science
Environmental Science
Agriculture
Biology
Artificial Intelligence
Computer Vision
Earth Science
Earth Observation
ML

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About this position

Computer Vision Center (CVC) is hiring a Postdoctoral Researcher for AI for agriculture, with a focus on multimodal foundation models for agri-environmental data.

The position is part of AgriScienceFM, a Horizon Europe project aimed at developing foundation models for agricultural research and innovation. The research will involve managing and processing large-scale datasets to train multimodal models that combine Earth observation, weather, and soil data with agriculture-specific spatial and temporal masks and pretext tasks.

The resulting models are intended to produce agriculture-specific environmental embeddings for applications such as crop type classification, yield forecasting, protein content estimation, soil health assessment, and farm advisory.

The postdoctoral researcher will join the Multispectral Image Analysis and Understanding (MSIAU) group at CVC. The announcement links to more information about the position, working conditions, and application requirements.

Deadline: 7 October 2026.

Funding details

A postdoctoral research position within the Horizon Europe project AgriScienceFM. The post does not specify stipend, salary, or tuition details in the text provided.

What's required

The post refers to more information about the position, working conditions and application requirements in the linked announcement. The candidate will work on large-scale dataset management and processing for multimodal foundation models combining Earth observation, weather, soil, and agriculture-specific spatial and temporal masks and pretext tasks.

How to apply

Open the linked position page for full details on working conditions and application requirements, then submit the application through the process described there before the deadline.

More information can be found here

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