Computer Vision Center
2 weeks ago
PhD in Computer Vision and Image Processing for Fruit Crops Computer Vision Center in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD project is part of a national research project funded by the Agencia Estatal de Investigación. The post indicates a PhD candidate position; no stipend amount, tuition coverage, or other financial details are specified.
Country
Spain
University
Computer Vision Center

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About this position
📢 PhD opportunity in Computer Vision and Image Processing for fruit crops at the Computer Vision Center (CVC) and the Institut de Recerca i Tecnologia Agroalimentàries (IRTA).
The selected candidate will join a national research project funded by the Agencia Estatal de Investigación and work under the co-direction of Robert Benavente (CVC) together with Estanis Torres and Lluís Asín (IRTA). The research is focused on apple and peach crops under field conditions.
Planned topics include 3D image reconstruction, object detection, semantic segmentation, and multispectral image analysis, with the goal of supporting agronomic decision-making and site-specific crop management.
This is a PhD candidate opening, not a scholarship announcement. The post does not specify a deadline or detailed funding package, but it does indicate that the position is tied to a funded national project.
Interested candidates should review the job posting and submit an application through the provided link.
Funding details
The PhD project is part of a national research project funded by the Agencia Estatal de Investigación. The post indicates a PhD candidate position; no stipend amount, tuition coverage, or other financial details are specified.
What's required
Applicants should be interested in or prepared to work on computer vision and image processing for agricultural applications. The project involves 3D image reconstruction, object detection, semantic segmentation, and multispectral image analysis in field conditions for apple and peach crops.
How to apply
Open the application link in the post and follow the job application instructions on the posting page. Review the full job description before applying.
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