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Research engineer in the elaboration of experimental measurements of meteorological observations

Your missions in a nutshell

Between measurement and scientific analysis, a first analysis and processing of the data is necessary, to eliminate any erroneous recordings, to transform the raw data into geophysical data when the sensor does not directly provide the quantity useful for scientific exploitation, or reformat the raw data and validate it.

The incumbent will be responsible for processing the measurements collected during the experimental campaigns carried out by GMEI, mainly using remote sensing measuring instruments (lidar, radar, radiometer) implemented by the LISA team. In collaboration with industry experts and in close collaboration with the LISA team, the incumbent will be responsible for developing innovative data processing channels, adapting to different campaign configurations and validating level 2 data.

The formatting of this data and related metadata must comply with international standards, in particular the FAIR principles. They will then be disseminated on AERIS research data centers.

The incumbent will participate in the evolution and development of the team’s analysis and processing tools, in particular graphical interfaces and visualization tools. The incumbent will also be involved in training the use of data analysis and processing tools for the various teams of the group.

Profile required

The position is open to holders of an engineering or master’s degree in atmospheric science, measurement physics, signal processing, remote sensing, or any related field.
The candidate must have a strong attraction for meteorological research and observation.
He will have to work as a team and communicate with the members of the TRAMM team, the members of the various instrumental teams of the group as well as with the managers of the AERIS data centers.
The candidate must master computer tools and programming.

Knowledge and skills:
– measurement physics
– experimental and instrumental techniques
– data analysis and processing tools
– notions of signal processing
– knowledge of Python and bash programming languages
– knowledge of the Linux operating system
aptitudes:
– knowing how to work in a team
– being able to communicate in French and English (written and oral)
– know how to write
– be independent
– be sensitive to open science issues
Minimum level of education required

Level
Level 7 Masters / equivalent degrees
Languages

English
Advanced or Independent

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