Development and Experimental Validation of AI-Based Solutions for Managing and Querying Occupational Health and Safety Documentati

12 ott - Italia
Italian Ministry of Education, University and Research

Organisation/Company Sapienza Università di Roma - Dipartimento di Scienze Statistiche Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 7 Nov 2026 - 23:59 (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

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Offer Description

Design, development,



and experimental evaluation of Artificial Intelligence-based methodologies and software components for the acquisition, processing, and querying of documentation related to occupational health and safety. xysqume Activities will include the development and evaluation of pipelines for document extraction and semantic indexing, RAG systems and knowledge graphs, the integration and evaluation of Large Language Models, the development of intelligent chatbot prototypes, and participation in their experimental validation.

- Italy

Eligibility of fellows: country/ies of residence:

- EUROPE

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