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Statistical and deterministic methods landslide susceptibility assessment

Job in Rome, Italy
Listing for: Altro
Full Time position
Listed on 2026-02-07
Job specializations:
  • Research/Development
    Research Scientist, Ecology
  • Science
    Research Scientist, Environmental Science, Environmental Compliance, Ecology
Salary/Wage Range or Industry Benchmark: 10000 - 30000 EUR Yearly EUR 10000.00 30000.00 YEAR
Job Description & How to Apply Below
Position: Application of statistical and deterministic methods for landslide susceptibility assessment in[...]
Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI Research Field Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Final date to receive applications 22 Feb 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Overview
Organisation/Company: ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA, DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI.

Offer Description
The exceptional meteorological events that affected Emilia-Romagna in May 2023 triggered an unprecedented hydrogeological crisis, causing thousands of shallow landslides, often representing first-time failures on stable slopes. Within the area of CARG Sheet No. 254 “Modigliana”, these phenomena revealed a high landslide density concentrated in specific lithological settings, a marked spatial heterogeneity, and the limitations of approaches based solely on historical inventories in extreme climate scenarios.

The research activity aims to carry out a comparative evaluation of statistical and deterministic methods for landslide susceptibility assessment, calibrated against the 2023 event. The work includes the preparation of territorial datasets and the event-based landslide inventory, the application of statistical and machine-learning models, the use of physically based slope-stability models, with the objective of supporting land-use planning and landslide risk mitigation.

Location:

Italy

Eligibility of fellows
Eligibility of fellows: country/ies of residence:

All

Eligibility of fellows: nationality/ies:

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