CDD Télédétection et apprentissage profond pour l'estimation d'attributs forestiers M/F
New
- Researcher in FTC
- 7 months
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Centre d'études spatiales de la biosphère
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
31401 TOULOUSE
Contract Duration
7 months
Date of Hire
01/12/2026
Remuneration
between 3041.58€ and 4216.7€ depending on the experience
Apply Application Deadline : 05 October 2026 23:59
Job Description
Missions
- Data processing, apply and tune deep-learning models to map forest composition and attributes.
- Exchange with the experts of the team (about lidar datasets properties, satellite image time series, and deep-learning models).
- Write publications in peer-reviewed journals and technical reports
Activity
You will extract relevant information on the structure and functional characteristics of forests by exploiting the complementarity between different satellite sensors (Sentinel-1, Sentinel-2, CO3D, NiSAR). As part of the MAPS (Machine Learning Methods for Spatial Information) team, you will develop data processing methods using deep learning.
Your Profil
Skills
- Deep learning for remote sensing data analysis.
- Satellite image time series processing.
- Oral and written communication in English and French.
- Working in Linux OS and HPC.
- Advanced python programming.- Familiar with QGIS.
- Analytical thinking and problem-solving skills
Your Work Environment
The CESBIO (Centre for Space Studies of the Biosphere) is a Joint Research Unit between the University of Toulouse, CNES, CNRS and IRD, and has been a Contract Unit of INRAE since 2018. Research carried out at CESBIO aims to study the functioning and dynamics of the continental biosphere under climatic and anthropogenic pressures, making extensive use of space-based remote sensing. It includes a methodological component to extract and validate relevant information from remote sensing, and a thematic component aimed at understanding the causes and dynamics of these changes. You will be assigned to the MAPS team (Physical and Statistical Methods for Spatialised Information), which works on developing models for the analysis of massive multi-source satellite data.
Compensation and benefits
Compensation
between 3041.58€ and 4216.7€ depending on the experience
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR5126-MILPLA-001 |
|---|---|
| CN Section(s) / Research Area | Continental surface and interfaces |
| Relevant experience | 1 to 4 years |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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