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

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">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. Where to apply Website https://xup-dicma.cloud/Home/CPService . Requirements. Additional Information . Eligibility criteria. Eligible destination country/ies for fellows: . Italy. Eligibility of fellows: country/ies of residence: . EUROPE. Eligibility of fellows: nationality/ies: . EUROPE. Website for additional job details https://web.uniroma1.it/trasparenza/bando/247113_idr-3/2026. <h2