11 May 2024
Job Information
- Organisation/Company
CNRS- Department
Institut Terre Environnement Strasbourg- Research Field
Physics- Researcher Profile
First Stage Researcher (R1)- Country
France- Application Deadline
31 May 2024 - 23:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Oct 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The thesis is funded by the CNRS Prime 80 project through the CNRS Mission for Cross-disciplinary and Interdisciplinary Initiatives. The thesis will be jointly supervised by the Institute of Earth and Environment in Strasbourg (ITES) and the Jean Kuntzmann Laboratory (LJK) in Grenoble. It will involve adapting mathematical tools developed at the LJK to calibrate a hydrological model developed at the ITES. The student will be based in Strasbourg and will undertake stays in Grenoble to familiarise him·herself with the mathematical tools. The student will have the opportunity to participate in scientific events organized by research infrastructures such as OZCAR and the Uncertainty Quantification Research Network.
Enrollment in PhD program: University of Strasbourg
Academic and industrial secondments: University of Grenoble Alpes
Calibration of a hydrogeological model through assimilation of geophysical data
Objectives: Distributed hydrological models (DHM) are particularly suitable for providing reliable estimates of future changes in groundwater storage at the catchment scale. However, accurately modelling processes is particularly challenging due to limited observations of processes occurring in the subsurface environment. An important challenge is to define the spatial variability of subsurface parameters that contribute to the DHM parameters. The thesis aims to develop a robust numerical solver for the hydrogeological inverse problem, allowing integration of geophysical data suitable for catchment-scale applications. These data consist of magnetic resonance sounding and gravimetric measurements, respectively detecting spatially varying water storage and temporal dynamics of groundwater masses. Ensemble Kalman filter-based assimilation tools will be adapted to the hydrological model and the geophysical dataset to be adjusted.
Expected results: The thesis will involve developing and validating the reliability of a data assimilation tool coupling a DHM applied at the catchment scale with geophysical data. The tool will be tested on digital catchments before being applied to a real catchment, the Strengbach. Applying the developed tool will enable estimation of DHM parameters for this catchment and provide an estimation of spatial and temporal variations in groundwater storage within this catchment.
Skills:
• Enthusiasm and motivation to work on numerical codes.
• Interest in collaborative research, open science, and implementation of reusable codes for use by an extended scientific community.
• Master's degree or equivalent in Hydrology, Geophysics, Data Science, Applied Mathematics, Computer Science, or related disciplines. Understanding of catchment hydrology appreciated.
• Written English, communication skills, proficiency in French is an asset but not essential.
Experience in model development, sensitivity analysis, or model calibration via inverse problem resolution methods will be highly appreciated.
Requirements
- Research Field
- Physics
- Education Level
- Master Degree or equivalent
- Languages
- FRENCH
- Level
- Basic
- Research Field
- Physics
- Years of Research Experience
- None
Additional Information
- Website for additional job details
https://emploi.cnrs.fr/Offres/Doctorant/UMR7063-NOLLES-001/Default.aspx
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Institut Terre Environnement Strasbourg
- Country
- France
- City
- STRASBOURG
- Geofield
Where to apply
- Website
https://emploi.cnrs.fr/Candidat/Offre/UMR7063-NOLLES-001/Candidater.aspx
Contact
- City
STRASBOURG- Website
https://ites.unistra.fr/
STATUS: EXPIRED