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Reference : UMR5566-MAEHOC-001
Workplace : TOULOUSE
Date of publication : Tuesday, January 08, 2019
Type of Contract : FTC Technical / Administrative
Contract Period : 12 months
Expected date of employment : 1 March 2019
Proportion of work : Full time
Remuneration : between 2400 and 2590 per month before taxes
Desired level of education : PhD
Experience required : 1 to 4 years
This project involves R&D activities in the framework of the Copernicus Marine Environment Monitoring Service (“CMEMS”). The project consists of improving the CMEMS sea level products and characterizing their errors at high resolution. The products to be analyzed are the level-3 (along track) and level 4 (gridded) altimetric sea level products. The research engineer will work on analyzing the alongtrack high-resolution (5Hz) altimetric sea level data in the open ocean, focusing on fronts and eddies. Statistical and dynamical analyses will be performed based on multiple satellite data sets. A deep analysis of these products is necessary to improve the understanding of the ocean signals and better characterize the errors at small scales. In this task, innovative approaches of assessment will be proposed to characterize the ocean signals to evaluate the SL and the deduced geostrophic velocity. The engineer will also work on extending these fine-scale analysis techniques to 2D as part of the preparation of the future wide-swath altimeter mission SWOT (CNES/NASA).
• Management / consolidation of complementary satellite databases (altimetric products of fronts & vortices, surface temperature, ocean color, etc.)
• Development of code to colocate altimetric alongtrack data with fronts and eddies,
• Data processing using analysis code provided by the project.
• Synthesis and formatting of product diagnostics and reports
The candidate must have a PhD degree in the field of geophysical fluid dynamics. The skills sought in the candidate are mainly his/her experience in altimetric data analysis, and statistical techniques for the quantification of altimetric signals and errors. Experience in the assessment of the ocean physical content will be an important asset, especially in the field of spectral analysis in relation to turbulence. The candidate will also have to be experienced in scientific programming (C, python, Fortran).
The engineer will work in collaboration with the LEGOS and CLS teams, and will be supervised by the LEGOS scientific team associated with this project.
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