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# Job offer

- **Company:** Universite Toulouse III Paul Sabatier
- **Location:** Toulouse, France
- **Salary:** €31,200.0
- **Contract:** Temporary contract
- **Skills:** Python (Programming Language), Machine Learning, Software Engineering, Deep Learning
- **Published:** October 5, 2026
- **Apply:** https://euraxess.ec.europa.eu/jobs/470218

## About the Role

Master Degree or equivalent, Master degree in Physics or Applied Mathematics or
Engineering degree. English. Python. Deep learning libraries

scientific software development

Soft skills: team-work, communication skills
Specific Requirements

## Description

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 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 Joint
Research Unit bringing together the CNES, CNRS, IRD, INRAe and the University of Toulouse III - Paul
Sabatier.,

The passive radiometry group of the Physics of Remote Sensing team at CESBIO offers a research
engineer position in machine learning applied to remote sensing. In particular, the candidate
should develop statistical inversion algorithms for image reconstruction of micro-wave
antennas arrays working in different acquisition modes such as interferometry for aperture
synthesis or beamforming. The work will be done in collaboration with Centre Borelli (École
Normale Supérieure Paris-Saclay) in the context of preparatory studies of the FRESCH (Fine
Resolution Explorer for Salinity Carbon and Hydrology) satellite mission concept submitted
to the European Space Agency (ESA) Earth Explorers program., 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.