Sustainable Materials Valorization with AI & HSI

Italian Ministry of Education, University and Research; Italia; On-site; EUR 42,000 - 64,000; Full time

Job summary

The Dipartimento ingegneria chimica materiali ambiente 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

Qualifications

• Eligibility of fellows: EU/Europe residents.

Responsibilities

• Develop methodologies for characterization, classification and sorting of raw materials and residues.
• Monitor environmental matrices and contaminants using non-destructive sensing techniques.
• Apply statistical, chemometric and AI methods for material recognition and recovery strategies.

Tools

Hyperspectral imaging

X-ray fluorescence

FTIR spectroscopy

Machine learning

Job description

The Dipartimento ingegneria chimica materiali ambiente 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