Application of spatial geostatistical methods to satellite data for fire risk assessment

Position: Research appointment (pre-doc) Institute: Uni. Calabria
Posted on: 23/06/2026 Deadline: 08/07/2026

Scientific-Disciplinary Group

01/MATH-04 - Mathematical Physics

Description

This position is part of the “FIRST” project, which is dedicated to developing advanced services for forest fire management, with a particular focus on the early detection of potential fire outbreaks and the delineation of burned areas through the integration of data collected by ground-based sensors, drones, and satellite platforms. The project also includes the development of mathematical models aimed at simulating the evolution of the fire front and generating operational scenarios to support response activities.The candidate will be involved in the application and implementation of spatial geostatistical tools applied to satellite data for fire risk assessment. The role involves conducting simulations and analyses of the fire front, as well as creating risk maps and charts.

Compensation

28,666 Euro

Job posting website

https://unical.portaleamministrazionetrasparente.it/archivio22_bandi-di-concorso_0_35246_874_1.html

Number of positions

1

Maximum duration

18.0

Funding body

Asi e MUR

Selection process

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The selection process includes an assessment of qualifications worth up to 60 points, and an interview worth up to 40 points. The interview will aim to evaluate the relevance, originality, and methodological consistency between the research directions emerging from each candidate’s academic and professional background, qualifications, and scientific publications, and the objectives of the research project described in the call. Proficiency in English will also be assessed. Master’s degree obtained no more than six years ago. Experience in creating risk maps and charts; experience in applying kernel methods for risk estimation; experience in conducting fire front modeling simulations.

View the original posting on the MUR website: Go to MUR website

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