Socio-economic vulnerability analysis and development of AI-driven landslide susceptibility models
Posted on: 11/05/2026
Deadline: 26/05/2026
Scientific-Disciplinary Group
04/GEOS-04 - Geophysics
Description
The two fellows will quantify and model dynamic interactions between natural hazards and anthropogenic drivers. Activities will include: analyzing socio-economic inequalities influencing landslide vulnerability through the mapping of informal settlements and demographic data; processing high-resolution satellite data; developing deep learning models; and integrating governance and economic indicators into spatial risk assessment models.
Compensation
22,500 Euro
Job posting website
Number of positions
2
Maximum duration
24.0
Funding body
OGS
Selection process
Click to expand
interview and qualification
View the original posting on the MUR website: Go to MUR website