Sustainable Materials Valorization with AI
The Dipartimento ingegneria chimica materiali contesto invites applications for a research position in CEAR-02/C – Raw Materials Engineering.
Non si lasci sfuggire questa opportunità: si candidi rapidamente se la sua esperienza e le sue competenze corrispondono a quanto descritto di seguito.
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 xbvzest and FTIR will be used; data will be analyzed with statistical, chemometric, and AI methods to support circular
Non si lasci sfuggire questa opportunità: si candidi rapidamente se la sua esperienza e le sue competenze corrispondono a quanto descritto di seguito.
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 xbvzest and FTIR will be used; data will be analyzed with statistical, chemometric, and AI methods to support circular