Research Engineer in climate data science F/M

As a public expert in weather and climate, Météo-France is here to help keep you safe every day and assist you in making the best decisions in a changing climate. With dangerous weather events becoming even more intense and frequent due to climate change, our mission to keep you safe is crucial. We mobilize our expertise and scientific and technological excellence to enable you to anticipate and adapt to challenging weather and climate events. Find us online: The DESR brings together the research entities of Météo-France (mainly CNRM, SAFIRE and LACy), the National School of Meteorology (ENM) and the shared administrative and IT support services. The CNRM is a Joint Research Unit (UMR 3589, under the joint supervision of Météo-France and CNRS. The CNRM conducts research in the field of meteorology and climate, from the observation, understanding and modelling of processes to the development of weather forecasting and climate projection systems that can be transferred to Météo-France's operational services. The person recruited will join the MOSCA (Modélisation du Système Climat régionaAl) team of the CNRM's Groupe de Modélisation Grande Echelle et Climat (GMGEC, whose aim is to improve knowledge of regional climates using a dedicated modelling approach. Why join us? Embark on a stimulating adventure that serves everyone, alongside men and women who are committed every day to tackling the challenges posed to our society by weather and climate. And enjoy the following benefits: flexible working hours, RTT (reduced working time), teleworking, staff restaurant or meal vouchers, 75% contribution to public transport costs, contribution to mutual insurance, sports and cultural associations depending on the site concerned (climbing, gym, pottery, theater, etc.). Other benefits await you, come and discover them! The regional climate modeling community is organized internationally through the CORDEX international program. One of the objectives of this program is to make high-resolution climate datasets for various geographical areas openly available to users outside the program. These datasets are made available through the Earth System Grid Federation (ESGF). The CNRM has been contributing to the CORDEX program since its launch in 2009. As part of the current phase of the program, also referred to as CORDEX-CMIP6, the CNRM has recently created a new generation of high-resolution climate simulations for Europe, the Mediterranean, Central America, and Oceania. The CNRM plans to publish these data on the ESGF in 2026. The position offered is part of this context. Mission: The selected candidate will be responsible for contributing to the publication of CNRM CORDEX data on the ESGF national node. This work will be carried out in collaboration with other engineers in the research group and under the supervision of CNRM CORDEX manager, Samuel Somot. Tasks: The duties of this position will consist of:

• Verifying that the data complies with CORDEX standards (CMOR, etc.) using a dedicated tool, and correcting the data if necessary
• Uploading the data to the CNRM's dedicated servers
• Taking the necessary steps to publish the data on the ESGF national node (indexing, etc.)
• Organizing and archiving the CNRM's CORDEX data
• Documenting and providing user support for this data

• The selected candidate must hold an engineering degree (BAC+5) or MSc or PhD in atmospheric, oceanic, or climate sciences, or in data science, obtained before the start date of the contract.
• Experience in numerical modeling, specifically in the field of climate studies, climate data science, or regional climate modeling, would be appreciated but is not mandatory.
• Experience in data CMORization or publication on ESGF would be appreciated but is not mandatory.
• Experience in handling large volumes of data would be appreciated, but is not mandatory.

• Good knowledge of the netcdf format
• Familiarity with tools for handling NetCDF files (nco, cdo, etc.)
• Proficiency in the Unix environment (bash scripting)
• Experience with one or more scientific analysis tools (e.g., Python, ncl, R, etc.)

• Autonomy in day-to-day work
• Strong organizational skills
• Spoken and written English at a B2 level minimum