Offer Description
The Centre d’Études Spatiales de la BIOsphère (CESBIO) is a public research laboratory dedicated to
advancing our understanding of continental surface processes and their interactions with climate and
human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor
environmental changes across spatial and temporal scales and to develop models that address key
societal challenges related to biodiversity, climate change, food security, and water resources. The
laboratory 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, and
the 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 and
irrigated crop maps. The work will focus on the design and implementation of advanced
methodologies 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 land
surface monitoring, particularly using satellite observations. These approaches may include machine
learning 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 and
land use dynamics.
A particular emphasis will be placed on the production of in-season maps, enabling the monitoring of
land use and irrigated crops during the agricultural season. This requires the ability to work with time
series 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, as
well as experience handling large Earth observation datasets and developing reproducible scientific
workflows
Where to apply
E-mail: valerie.demarez@utoulouse.fr
Skills/Qualifications
remote sensing, geospatial data analysis, artificial intelligence or machine
learning, 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 a
authorization process to be granted access. He will also required to follow closely the security
guidance rules once recruited
