Job offer

Environmental science » Natural resources management

Organisation/Company CESBIO/ Université de Toulouse Department Univers Planète Espace Environnement Research Field Environmental science » Natural resources management Researcher Profile Recognised Researcher (R2) Positions Research Support Positions Application Deadline 3 Apr 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Centre d’Études Spatiales de la BIOsphère (CESBIO) is a public research laboratory dedicated toadvancing our understanding of continental surface processes and their interactions with climate andhuman activities. CESBIO scientists make extensive use of remote sensing technologies to monitorenvironmental changes across spatial and temporal scales and to develop models that address keysocietal challenges related to biodiversity, climate change, food security, and water resources. Thelaboratory also plays a central role in the development and promotion of Earth Observation,contributing to the design, implementation, and scientific exploitation of numerous satellite missions.CESBIO is a Unité Mixte de Recherche (Joint Research Unit) bringing together the CNES, CNRS, IRD, andthe University of Toulouse III – Paul Sabatier and associate to INRAe as a mixt service unit

The objective of this position is to develop methods for producing national-scale land use andirrigated crop maps. The work will focus on the design and implementation of advancedmethodologies combining remote sensing data, artificial intelligence techniques, and agro-meteorological modelling.The candidate will contribute to the development of state-of-the-art AI approaches applied to landsurface monitoring, particularly using satellite observations. These approaches may include machinelearning and deep learning methods for the analysis of multi-source Earth observation data.In addition, the work will involve hybrid approaches integrating remote sensing with agro-meteorological models, in order to improve the detection and characterization of irrigated crops andland use dynamics.A particular emphasis will be placed on the production of in-season maps, enabling the monitoring ofland use and irrigated crops during the agricultural season. This requires the ability to work with timeseries of satellite data and to develop operational methods capable of delivering timely information.The successful candidate is expected to have strong skills in remote sensing, geospatial data analysis,artificial intelligence or machine learning, and environmental or agro-meteorological modelling, aswell as experience handling large Earth observation datasets and developing reproducible scientificworkflows

Where to apply

E-mail

Requirements

Research Field Environmental science » Water science Education Level PhD or equivalent

Skills/Qualifications

remote sensing, geospatial data analysis, artificial intelligence or machinelearning, and environmental or agro-meteorological modelling

Additional Information

Additional comments

Contract duration : 2 years

CESBIO is identified as a security restrictive zone (ZRR) laboratory. Candidate is required to follow aauthorization process to be granted access. He will also required to follow closely the securityguidance rules once recruited