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 become critical 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.