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

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pOrganisation/Company Dipartimento Ingegneria Chimica Materiali Atmosfera 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 /ph3Offer Description /h3pDevelopment 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. /pulliItaly /li /ulpbEligibility of fellows: country/ies of residence: /b /pulliEUROPE /li /ulpbEligibility of fellows: nationality/ies: /b /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8ooacj