Research Engineer in Climate Data Science and Management 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:https://meteofrance.com/carte-didentite-de-meteo-france

The Directorate of Higher Education and Research (DESR) brings together the research entities of Météo-France (mainly CNRM, SAFIRE and LACy), the National School of Meteorology and the shared administrative and IT support services.

The CNRM is a Joint Research Unit (UMR 3589, https://cnrm.sedoo.fr/) 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, https://cnrm.sedoo.fr/mosca-modelisation-du-systeme-climatique-regional/) 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!

Context:

The position offered is part of the FUTURA European project (Future of Climate Change Scenarios of the Earth System, Impacts and Socio-Economic Outcomes for Assessment and Society).

Mission:

Within the first phase of the FUTURA project, the selected candidate will be responsible for contributing to the publication of CNRM CORDEX data on the ESGF-NG nodes. 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.

Activities:

The duties of this position will consist of:

1. Checking that the data comply with CORDEX standards (CMOR, etc.) using a dedicated tool and correcting the data where necessary;

2. Uploading the data to the dedicated CNRM servers;

3. Taking the necessary steps to publish the data on the ESGF-NG nodes (indexing, etc.);

4. Organising and backing up CORDEX data at CNRM;

5. Documenting the data and providing support to users of these data;

6. Contributing to the team's work on the management, organisation and processing of climate model data, beyond CORDEX data intended for ESGF.

For any further information, please contact Samuel SOMOT (samuel.somot@meteo.fr)

General requirements

- The selected candidate must hold an engineering degree at Master's level (BAC+5), an MSc or a PhD in atmospheric, oceanic or climate sciences, or in data science, obtained before the start date of the contract.

- Experience in numerical modelling, specifically in climate studies, climate data science or regional climate modelling, would be appreciated but is not mandatory.

- Experience in data CMORisation 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.

Technical skills

- Good knowledge of the NetCDF format;

- Familiarity with tools for handling NetCDF files (NCO, CDO, etc.);

- Proficiency in the Unix environment and Bash scripting;

- Knowledge of a scientific analysis tool (e.g. Python, NCL, R).

Professional skills

- Autonomy in day-to-day work;

- Good organisational skills;

- Spoken and written English at a minimum B2 level.

Personal skills

- Good interpersonal and teamwork skills;

- Availability and adaptability.