Université de Toulouse
1 week ago
PhD in Soil Moisture Spatial Heterogeneity and Representativeness Index for European Instrumented Sites Université de Toulouse in France
Degree Level
PhD
Field of study
Computer Science
Funding
PhD funded for 3 years from 2027-09-01 to 2030-08-31. Funding source: MSCA COFUND BEST. Employer: Université de Toulouse.
Deadline
Nov 23, 2026
Country
France
University
Université de Toulouse

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About this position
PhD opportunity at Université de Toulouse within the doctoral school SDU2E - Sciences de l'Univers, de l'Environnement et de l'Espace and the research unit CESBIO - Centre d'Etudes Spatiales de la BIOsphère.
The thesis topic is characterizing the drivers of spatial soil moisture heterogeneity and developing a representativeness index for European instrumented sites using a multi-sensor approach. The project is linked to climate change, soil moisture monitoring, calibration/validation of satellite soil moisture products, and international observation networks such as ICOS, ISMN, and FLUXNET.
Research themes and keywords include soil moisture, multi-sensor sampling, spatial heterogeneity, scaling, hydrology, and environmental sciences. The work will involve site-specific calibration procedures, experimental campaigns across contrasting ecosystems, and the development of a transferable spatial representativeness index for instrumented sites.
Supervision is by Arnaud Mialon with co-supervision by Aurore Brut. Funding is provided for 3 years under MSCA COFUND BEST, with a start date of 1 September 2027.
Eligibility highlights: applicants should hold a Master's degree in physics, geosciences, or environmental sciences, have an excellent academic record, and be comfortable with Python, R, or MATLAB. Strong English writing ability is required (B2/C1), and a driver’s license is recommended for fieldwork.
Application deadline: 23 November 2026 at 23:59. Apply via the doctoral application portal provided by the university.
Funding details
PhD funded for 3 years from 2027-09-01 to 2030-08-31. Funding source: MSCA COFUND BEST. Employer: Université de Toulouse.
What's required
Candidate must hold a Master's degree (five years of higher education) in physics, geosciences, or environmental sciences from a university or engineering school, with an excellent academic record. Expected skills include Python, R, or MATLAB, strong interest in natural environments, ability to write scientific documents in English, and English level B2/C1 (intermediate upper to advanced). Knowledge of mathematical and signal processing tools is an advantage. Self-motivation, teamwork, and a driver’s license are recommended for field data collection.
How to apply
Apply through the Toulouse doctoral school application portal. Prepare the required documents and submit before the deadline. The application link is provided in the post.
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