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Portail > Offres > Offre UMR7328-ISALAN-024 - H/F INGENIEUR(E) DE RECHERCHE EN CALCUL SCIENTIFIQUE sur l'inversion du carbone organique dissous (DOC) à partir de la télédétection spatiale passive

H/F - RESEARCH ENGINEER IN SCIENTIFIC COMPUTNG on the retrieval of dissolved organic carbon (DOC) from space-based passive remote sensing

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

Date Limite Candidature : lundi 26 décembre 2022

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General information

Reference : UMR7328-ISALAN-024
Workplace : ORLEANS
Date of publication : Monday, October 24, 2022
Type of Contract : FTC Technical / Administrative
Contract Period : 10 months
Expected date of employment : 1 January 2023
Proportion of work : Full time
Remuneration : 2584 € to 2768 € gross/month depending on experience
Desired level of education : Engineer
Experience required : 1 to 4 years

Missions

The LPC2E of the CNRS ORLEANS is looking for a Scientific Computing Engineer - 10 month fixed term contract renewable for 6 months. He or she will work on the inversion of dissolved organic carbon (DOC) from passive spatial remote sensing.
One of the major concerns for the environment and future climate is the fate of carbon released by melting permafrost and peatland disturbance in Arctic areas. Some of this carbon is transferred to the Arctic Ocean via large rivers (Ob, Lena, Yenisei, Kolyma, Mackenzie, Yukon) that are located in organic-rich watersheds. Unfortunately, most of the annual DOC flux transported by these rivers is observed during the snowmelt period, which severely limits the spatial and temporal coverage of in-situ measurements.
The CNES DOC-Rivers project aims to extend the spatial and temporal coverage of observations using passive space-based remote sensing. This work will be based on high-resolution data from the Sentinel 2 and Landsat 8 satellites and on a DOC reconstruction algorithm implemented at LPC2E. The resulting product will represent an unprecedented source of information for understanding DOC dynamics in Arctic rivers and estimating its transfer from large catchments to the Arctic Ocean. In addition, the estimation of DOC at high latitudes will allow a better characterisation of the production of greenhouse gases from the degradation of DOC by micro-organisms.

Activities

As part of your duties you will be responsible for :

- developing an algorithm to optimise the relationship between satellite reflectances and chromoforest dissolved organic matter (CDOM) based on published studies
- test different relationships between CDOM and DOC in order to improve the estimation of DOC from satellite data.
- Create the Sentinel 2/Landsat 8 DOC database for the period 2013-2022. Landsat 9 data can be used from 2022 onwards. The database can also be extended from the old Landsat 5 and 7 missions over the period 2003-2013.
- Validate the new database by comparing it with in-situ data (ArcticGRO network, TOMCAR campaign, etc.). A literature survey will be necessary to identify all available in-situ data.
- post-process the data and archive the various products. In particular, you will calculate the intra- and inter-annual DOC variability and the DOC export to the Arctic Ocean.
- Document, maintain and publish the methods and tools developed (scientific calculation, visualisation of results, etc.).
- to carry out presentations and trainings in order to ensure knowledge transfer.
Within the framework of the project, you will collaborate with the "water colours" centre of expertise of the Theia data centre (https://www.theia-land.fr/).

Skills

PhD or engineering degree in a field related to spatial remote sensing with strong knowledge of scientific and statistical computing.
Knowledge
- Significant knowledge in satellite data processing/visualisation
- Programming languages (Python, R)
- General knowledge of technical architectures (Linux, database)
- Statistical analysis
- Algorithms
- English language: B1-B2
Skills
- Provide answers to specific needs
- Develop or adapt new techniques
- Adapt computer programs
- Write documents
- Communicate and teach
Knowing how to be
- Be a force of proposal
- Have good interpersonal skills, enthusiasm
- Know how to organise yourself in order to respect schedules
- Be open-minded and a team player
- Know how to motivate your algorithmic choices and possibly question them
- Willingness to expand one's culture and skills
- Know how to appropriate new technologies

Work Context

The duration of the contract is 10 months (renewable for 6 months). The contract may start in January 2023. Applications should be made via https://emploi.cnrs.fr. The work will take place at the LPC2E in Orléans on the CNRS Campus. The selected candidate will join the Atmospheric Environment and Planetology team (https://www.lpc2e.cnrs.fr/environnement-atmospherique-et-planetologie). This team is composed of 10 researchers working on aerosols and atmospheric chemistry at different scales ranging from continental surfaces to the middle atmosphere. The team is notably involved in numerous projects concerning wetland emissions in connection with the National Peatland Observation Service (https://www.sno-tourbieres.cnrs.fr/). The candidate will work in close collaboration with the LPC2E applied computer team. The candidate will benefit from the advantages of CNRS agents (training, sports facilities, leisure centre).

Constraints and risks

The work will require occasional travel to Paris and Toulouse to work with other project members in the different laboratories involved (LSCE, ENS-Paris, LEFE).

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