Ingénieur en Prédiction Météorologique par Deep Learning

Contexte et environnement

TotalEnergies has launched an ambitious Integrated Power Modeling initiative designed to secure a leading position in nextgeneration energy systems and electricity markets.

As renewable energy sources are increasingly integrated into power grids andindustries, transportation, and buildings undergo large\-scale electrification, the energy landscape is evolving at an unprecedentedpace.

In this context, advanced modeling and forecasting solutions to support supply\-demand balance management have becomecritical enablers of strategic decision\-making and long\-term competitiveness.

Activités

• Support short\- and medium\-term commercial ambitions in weather forecasting


• Collect and acquire the most relevant datasets both open\-source and proprietary tailored to specific geographical areas


• Design and develop robust internal workflows based on deep learning solutions


• Continuously integrate and evaluate the latest models from major tech companies, startups, and academia


• Create educational content adapted for a general audience


• Produce scientific documentation to explain internal developments and contribute to scientific conferences


• Provide support for the adoption and use of internal forecasting tools within the organization


• Conduct both industrial and academic monitoring to stay at the forefront of weather forecasting technologies


• Identify and collaborate with stakeholders at all levels: academia, industry, business units, and programs


• Contribute to team skill development through training, workshops, and knowledge\-sharing initiatives

Profil du candidat

• Master's or PhD in deep learning with a specialization in meteorological modeling.


• Hands\-on knowledge of deep learning\-based weather forecasting models such as GraphCast, Aurora, and FourCastNet.


• Hands\-on knowledge of the most relevant input data for weather forecasting: meteorological agencies, satellite imagery, and local observations.


• Practical knowledge of the prerequisites for industrializing deep learning.


• Proficiency in computing infrastructures, both cloud and HPC including Slurm, as well as storage architectures.


• More than 6 years of professional experience.


• English and French required.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.

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