Sustainable Materials Valorization with AI
The Dipartimento ingegneria chimica materiali contesto 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
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