Sustainable Materials Valorization with AI & HSI
The Dipartimento ingegneria chimica materiali atmosfera invites applications for a research position in CEAR-02/C – Raw Materials Engineering. The project focuses on developing methodologies for characterization, classification and sorting of primary and secondary raw materials, waste and process residues.
Non-destructive sensing and imaging techniques such as hyperspectral imaging, XRF and FTIR will be used; data will be analyzed with statistical, chemometric, and AI methods to support circular
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Non-destructive sensing and imaging techniques such as hyperspectral imaging, XRF and FTIR will be used; data will be analyzed with statistical, chemometric, and AI methods to support circular
#J-18808-Ljbffr