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Portail > Offres > Offre UMR5126-JERCOL-002 - Ingénieur Calcul Scientifique H/F

Scientific Computing Engineer M/F

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mercredi 12 octobre 2022

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General information

Reference : UMR5126-JERCOL-002
Workplace : TOULOUSE
Date of publication : Wednesday, September 21, 2022
Type of Contract : FTC Technical / Administrative
Contract Period : 12 months
Expected date of employment : 2 January 2023
Proportion of work : Full time
Remuneration : from 2583.56 to 2768.35€ gross salary, depending on experience
Desired level of education : 5-year university degree
Experience required : 1 to 4 years


Within the CESBIO laboratory, the incumbent will be in charge of a research study on the use of machine learning methods to improve the accounting of aerosol types in the MAJA atmospheric correction chain. The aim is to explore single and multi-variable regression approaches in order to select the most efficient one, which is the result of a compromise between simplicity and speed, accuracy and robustness. The long-term objective is to implement this method in the MAJA processor, which is notably used at CNES in the operational processing of Sentinel-2 data distributed to the community, but also to prepare the use of the chain for the future TRISHNA space mission.


This work will involve:
- to get to grips with the radiative transfer calculation tools and machine learning libraries;
- to develop methods and tools for generating the training set in an HPC environment;
- to code and evaluate the performance of the different learning methods;
- to contribute to the implementation and validation of the prototype of the selected algorithm in the MAJA chain.


The incumbent should have a strong background in computer science and mathematics, with some knowledge of data science if possible. A good knowledge of Python is essential, and a good knowledge of learning method libraries (Pytorch, scikit-learn, xarray, Pandas) would be appreciated.
Team spirit
Fluent in English

Work Context

The Centre d'Études Spatiales de la Biosphère (Cesbio) is a public research laboratory at the forefront of the field of space remote sensing. The laboratory has nevertheless maintained a human scale with a staff of around 100 people who contribute to the development of themes as varied as ecology, water resource management and agronomy using data from Earth observation satellites.

Additional Information

The initial offer is for twelve months, but the contract may be renewed as the project develops.

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