Summary
IMT Mines Alès, a leading engineering school, is seeking a Post-doctoral Researcher for a 13-month fixed-term contract. The successful candidate will join the Center for Research and Teaching in Environment and Risks (CREER) and the HSM research unit. This position is part of the PREV’IA project, focusing on understanding and forecasting water resources in the Roussillon Plain and the Lez spring, utilizing emerging concepts in “Physics-Informed Machine Learning” (PIML).
Designation
Post-doctoral Researcher
Research Area
- Physics-informed Artificial Intelligence (PIML)
- Hydrogeological Modeling
- Environmental Modeling
- Machine Learning for Complex Natural Phenomena
Location
Alès, Occitanie, France (On-site, Hybrid)
Eligibility/Qualification
- Minimum Education and/or Experience: Ph.D. in a field related to hydrogeology, hydrology, or environmental modeling.
- Required Skills, Knowledge, and Experience:
- Experience in machine learning for modeling complex natural phenomena.
- Ability and experience in multidisciplinary projects.
- Genuine ability and experience in organization and teamwork (organizing meetings, planning activities, drafting administrative documents).
- Good command of scientific English.
- Additional Requirements: Diploma must have been awarded no more than three years prior to the start date.
Job Description
The mission involves using “Physics-Informed Machine Learning” (PIML) approaches to assess the potential benefits of synergy in hydrogeological modeling. This includes:
- Concept-based modeling.
- Neural networks informed by, or complemented with, physics.
The PIML approach will be explored along two lines:
- Physics Informed Architecture (PIA): Integration of physical knowledge into the model architecture (hidden layers).
- Physics Informed Loss Function (PILF): Combining physical modeling (differential equations) and black-box methods, merged into the cost function (regularization term).
The proposed models may be used to determine the evolution of certain hydrological variables in response to climate change. This work builds upon an ongoing thesis within the UMR HSM (HYTAKE team) focusing on the sustainability of karst water resources.
Benefits:
- Generous vacation time.
- On-site dining.
- 75% of public transportation costs covered.
- Sustainable mobility allowance for carpooling or biking.
- Stimulating innovation ecosystem.
- Ideal environment (sea/mountains nearby).
How to Apply
Applicants are strongly recommended to contact the individuals listed under the “Job Description” section for more information before applying. Applications should include a CV or resume, a cover letter, and a copy of the diploma.
Contacts:
- Regarding the job description:
- Anne JOHANNET (PREV’IA Project Manager)
- Juliette CERCEAU (HSM Liaison)
- Hervé JOURDE (HSM-HYTAKE)
- For administrative matters:
- Géraldine BRUNEL (Director of Human Resources)
Last Date for Apply
November 1, 2026
