Post-doc -  Flora and fauna spatial distribution

The JRC Rural Digital Lab is looking for a passionate candidate (preferably with a PhD in Computational Ecology, Applied Computer Science Science, Bioscience Engineer or Agricultural Engineering) to join the team as post-doc (with good conditions).

The project goal is to exploit cutting-edge computer vision methods on massive crowdsourcing data to model flora and fauna species spatial distributions at continental scale to support policy.

More specifically, the research is on localizing wildflower-pollinator interactions in rural landscapes with citizen science and deep learning. In this project (FFGRCC - Flora Fauna Green Rural Corridor Connect) we aim to improve European wide spatial plant distribution models based on Pl@ntnet (https://plantnet.org/en/ ) crowdsourced species occurrence by extracting habitat information from LUCAS landscape pictures with deep learning. Once this is done (ambitious!) we will evaluate how spatial co-distributions of wildflowers and pollinators are associated with semi-natural ecosystems and landscape features in the context of the Common Agricultural Policy.

Apply here with the reference 2020-IPR-A5-FGIV-015648 (description in attachment) :

https://recruitment.jrc.ec.europa.eu/

Deadline: 24/11/2020