LSCE and INRAE: PhD candidate, in deep learning and foundational models for mapping forest attributes in African dense forests using satellite data (français)

The Laboratoire des Sciences du Climat et de l’Environnement and INRAE are looking for a motivated PhD candidate with interest and skills in deep learning and foundational models for mapping wall to wall forest attributes in African dense forests using satellite data. The candidate will be based in Paris with visits to INRAE-Bordeaux. This research is part of the Initiative One Forest Vision ( https://oneplanetsummit.fr/les-coalitions-82/initiative-one-forest-vision-251 )Please join our team !Link and how to apply :

https://lc.cx/Rnp9wf