Post-doc on Hyperspectral Foundation Models for Chemical Soil Analysis

When:
18/11/2026 – 19/11/2026 all-day
2026-11-18T01:00:00+01:00
2026-11-19T01:00:00+01:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LITIS Lab, Rouen Normandie
Durée : 1 year (with possibi
Contact : paul.honeine@univ-rouen.fr
Date limite de publication : 2026-11-18

Contexte :
If you are interested, please send your CV with contact references in a motivational email to paul.honeine@univ-rouen.fr.

Location: LITIS Lab, Rouen Normandy

Expected starting date: 2026 or 2027 (flexible).

Duration: 12 months with possibility of extension

Sujet :
Post-doc or research engineer on the topic Hyperspectral Foundation Models for Chemical Soil Analysis, within the ANR project HyFoundationS

Profil du candidat :
We are seeking a highly motivated candidate for a postdoctoral position or research engineer role, with a strong interest in AI for science. The candidate must have a PhD in AI, computer science, computational mathematics, signal and image processing, applied physics, remote sensing, geosciences, or a related field. The candidate must have solid technical skills in deep learning, with experience in Python and the common ML libraries. Expertise in hyperspectral imaging is not necessary.

Formation et compétences requises :

Adresse d’emploi :
LITIS Lab, Rouen Normandy

Document attaché : 202607311353_PostDoc_HyFoundationS.pdf