
Postdoctoral researcher in groundwater resource forecasting using machine learning and uncertainty analysis - 21-Month Fixed-Term Contract - IMT Mines Alès
- On-site, Hybrid
- Alès, Occitanie, France
- Energies renouvelables et ressources
Job description
Come join IMT Mines Alès, a prestigious “grande école” ranked among the top engineering schools both nationally and globally, located in Alès—a welcoming, livable city and the capital of the Cévennes region, where residents highly value the quality of life.
Founded in 1843, IMT Mines Alès currently has 1,400 students (including 250 international students) and 380 staff members. The school has three high-level scientific and technological research and teaching centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies. For more information: https://www.imt-mines-ales.fr
You will be affiliated with the Center for Research and Teaching in Environment and Risks (CREER) at IMT Mines Alès and the HSM research unit.
This work is part of the PREV’IA project, which focuses on understanding and forecasting water resources in the Pliocene-Quaternary aquifer of the Roussillon Plain, as well as calculating and visualizing the uncertainties associated with a statistical model previously developed by IMT Mines Alès for the source of the Lez River.
Your responsibilities:
Based on the results of previous studies, you will be responsible for supplementing the data and continuing the development of hydrodynamic statistical models that account for spatial heterogeneities and enable an understanding of the impact of anthropogenic withdrawals on water levels within the various compartments of the Roussillon aquifer.
You will develop prediction models that can be used in another study to determine how these variables will evolve in response to climate change; to do so, you may incorporate output data from the “Explore 2” project.
You can find more information in the job description below:
Job requirements
Minimum education and/or experience required:
PhD in fields related to hydrogeology, hydrology, or environmental modeling.
Required skills, knowledge, and experience:
Experience with machine learning for modeling complex natural phenomena.
Experience in organization and teamwork: organizing meetings, planning actions, contributing to the drafting of administrative documents
Proficiency in scientific English
Additional information:
21-month fixed-term contract under public law - Position open to civil servants and contract employees
Internal information for staff in the IMT management framework:
Job category: II - P
This position is open to all. IMT Mines Alès is committed to implementing the necessary accommodations for people with disabilities to ensure an inclusive and accessible work environment.
Salary: €35,400 gross annually.
Application deadline: May 31, 2026
Estimated date of the jury’s decision: June 30, 2026
Desired start date: October 1, 2026
We strongly recommend contacting the individuals listed below regarding the “job description” section.
Contacts:
Regarding the job description:
Anne JOHANNET, PREV'IA Project Manager, anne.johannet@mines-ales.fr
Juliette CERCEAU, HSM Coordinator, juliette.cerceau@mines-ales.fr
Regarding administrative matters:
Géraldine BRUNEL, Director of Human Resources, geraldine.brunel@mines-ales.fr
So join us and enjoy these many benefits:
Generous vacation time
On-site dining
75% of public transportation costs covered
Sustainable mobility allowance for carpooling or biking
A vibrant innovation ecosystem (startups, students, research, companies, and more)
Ideal environment for pursuing your passions (sea/mountains nearby)
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