Post-Doctorant en Intelligence artificielle informée par la physique pour la modélisation hydrogéologique

About the role

The researcher will join the CREER research center to work on the PREV'IA project, focusing on the knowledge and forecasting of water resources in the Roussillon plain and the Lez spring. The role involves using Physics Informed Machine Learning (PIML) concepts to evaluate synergies between conceptual hydrogeological modeling and physics-informed neural networks. The models developed will be used to determine the evolution of hydrological variables in response to climate change.

Responsibilities

• Explore Physics Informed Architecture (PIA) and Physics Informed Loss Function (PILF) methods.
• Develop models to assess hydrological changes under climate change scenarios.
• Contribute to multidisciplinary project tasks and planning.
• Participate in the organization of meetings and project actions.
• Contribute to the drafting of administrative documents.

Required skills

• Hydrogeology
• Hydrology
• Environmental modeling
• Machine Learning
• Physics Informed Machine Learning
• Scientific English

Qualifications

• Doctorate in hydrogeology, hydrology, or environmental modeling

Benefits

• Generous leave
• On-site catering
• 75% public transport reimbursement
• Sustainable mobility package for carpooling or cycling

About the Company

IMT Mines Alès is a prestigious engineering school founded in 1843, located in Alès. It hosts 1,400 students and 380 staff members, operating through three high-level research and teaching centers focused on materials, environment, and digital intelligence.