Post-doctorant·e en prévision de la ressource en eau souterraine par apprentissage statistique et étude des incertitudes - CDD 21 mois - IMT Mines Alès

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:\n\n

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.\n\n

You can find more information in the job description belo