Artificial Intelligence and Blockchain Methodologies for Traceability, Quality, and Safety in the Meat Supply Chain.

Italian Ministry of Education, University and Research; Italia; Presencial; EUR 40.000 - 50.000; Jornada completa

Descripción de la vacante

Università degli Studi di Napoli “Federico II" sta cercando ricercatori per una posizione di ricerca nel campo dell'integrazione tra Intelligenza Artificiale e tecnologie Blockchain.

Il progetto mira a monitorare e gestire in modo intelligente la filiera della carne, dall'allevamento al confezionamento e distribuzione, includendo smart contracts e ledger distribuiti per garantire tracciabilità e integrità dei dati.

Descripción del empleo

Organisation/Company Università degli Studi di Napoli “Federico II Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 7 Dec 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research activity aims to investigate and experiment with innovative methodologies based on the integration of Artificial Intelligence (AI) and Blockchain technologies for monitoring and intelligent management of the meat supply chain. Models and architecture will be investigated for the acquisition, integration, and certification of data generated throughout the different stages of the supply chain, from livestock farming and processing to product distribution.
Blockchain technologies will be investigated as an infrastructure to ensure traceability, data integrity, transparency, and verifiability, including the use of smart contracts and distributed ledger mechanisms. In parallel, Artificial Intelligence and Machine Learning techniques will be studied for supply chain data analysis, with particular emphasis on anomaly detection, quality and safety indicator assessment, risk prediction, and decision support.

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE