Institut Mines-Télécom
Post-Doctorant en Intelligence artificielle informée par la physique pour la modélisation hydrogéologique
35.542 €Onsite
- Environment and Risks
- France
- Contract
- 2d ago
Newly posted
About the role
The researcher will join the CREER research center at IMT Mines Alès to work on the PREV'IA project. The role focuses on using Physics Informed Machine Learning (PIML) to improve hydrogeological modeling for water resource forecasting in the Roussillon plain and the Lez spring. The work involves exploring Physics Informed Architecture and Physics Informed Loss Function methods to assess hydrological changes under climate change.
Responsibilities
- Explore and implement Physics Informed Machine Learning approaches for hydrogeological modeling
- Develop and test Physics Informed Architecture and Physics Informed Loss Function models
- Evaluate the synergy between conceptual modeling and neural networks informed by physics
- Contribute to the analysis of hydrological data in the context of climate change
- Participate in multidisciplinary project activities and team meetings
- Assist in the drafting of administrative and scientific documents
Required skills
- Machine Learning
- Hydrogeology
- Hydrology
- Environmental modeling
- Physics Informed Machine Learning
- Scientific English
Qualifications
- Doctorate in hydrogeology, hydrology, or environmental modeling
Benefits
- Paid leave
- On-site catering
- Public transport reimbursement
- Sustainable mobility package
About the Company
IMT Mines Alès is a prestigious engineering school founded in 1843, located in Alès. It hosts 1400 students and 380 staff members, operating three high-level research and teaching centers focused on materials, environment, and digital intelligence.