Development of algorithms, logic, and models for processing drone-acquired data to quantify asbestos-containing materials (ACMs) and remotely map surfaces.

Italian Ministry of Education, University and Research; Italia; Remote; EUR 25,000 - 35,000; Full time

Job summary

Dipartimento Ingegneria Chimica Materiali Ambiente invites applications for a research fellow to develop spectral libraries and chemometric procedures in Python for processing drone-acquired hyperspectral data, aiming at identifying asbestos-containing materials (ACM).

The role covers field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, requiring expertise in hyperspectral imaging, chemometrics, and remote sensing, with proficiency in ENVI

Job description

Organisation/Company Dipartimento Ingegneria Chimica Materiali Ambiente Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Nov 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

Offer Description

Development within a Python environment of spectral libraries, chemometric procedures for processing drone-acquired hyperspectral data, and classification and model-selection algorithms aimed at identifying asbestos-containing materials (ACM). Activities include integrated field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, all aimed at establishing procedural and operational guidelines. The role requires expertise in hyperspectral imaging, chemometrics, and remote sensing data analysis, as well as proficiency in ENVI and specialized hyperspectral processing software.

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies: