Machine learning models to forecast landslide hazard.
Posted on: 01/07/2026
Deadline: 16/07/2026
Deadline: 16/07/2026
Scientific-Disciplinary Group
04/GEOS-03 - Physical Geography, Geomorphology And Applied Geology
Description
Breve descrizione del programma di ricerca (in inglese), max 400 caratteri:Modeling rainfall-induced landslides for regional and national early warning systems using statistical approaches and dynamic machine learning. Model validation on multi-source datasets to identify potential criticalities and improve model calibration, resulting in more accurate predictions of expected risk scenarios.
Compensation
22,500 Euro
Job posting website
Number of positions
1
Maximum duration
12.0
Funding body
Università di Firenze - Dipartimento di Scienze della Terra (DST)
How to apply
segreteria@dst.unifi.it
Selection process
Click to expand
Italian language skills: native speaker or adequate level of proficiency for compiling project activity reports written in Italian.Knowledge of the Italian Civil Protection structure.Research experience in one or more of the following topics: early warning systems for rainfall-induced landslides at regional and national scales, landslide susceptibility, hazard, and risk modeling.Knowledge of GIS systems and programming languages applied to geomatics analysis.
View the original posting on the MUR website: Go to MUR website