I Agents for Occupational Safety: Training for Injury Prevention, Internal Communication and Marketi
15 ore fa
rome, lazio, Italia
Italian Ministry of Education, University and Research
Tempo pieno
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Organisation/Company Inail Research Field Economics » Business economics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Nov 2026 - 13:00 (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
his position involves the design, development and experimental testing of conversational AI agents — based
on open-source European Large Language Models and advanced Retrieval-Augmented Generation (RAG)
architectures — as the central enabling technology for occupational health and safety management. The
researcher will help build layered regulatory datasets (Legislative Decree 81/2008, EU directives, sector
protocols) and design context-aware retrieval strategies to develop AI agents able to: deliver personalised
injury-prevention training based on the user's professional profile and competence level; support internal
corporate communication on safety topics; generate multimodal (textual, visual, multimedia) marketing and
awareness content. Experimental validation will involve workers from different sectors, measuring training
effectiveness, communicative engagement and impact on injury-risk reduction.
Italy
Eligibility of fellows: country/ies of residence:
EUROPE
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr
Offer Description
his position involves the design, development and experimental testing of conversational AI agents — based
on open-source European Large Language Models and advanced Retrieval-Augmented Generation (RAG)
architectures — as the central enabling technology for occupational health and safety management. The
researcher will help build layered regulatory datasets (Legislative Decree 81/2008, EU directives, sector
protocols) and design context-aware retrieval strategies to develop AI agents able to: deliver personalised
injury-prevention training based on the user's professional profile and competence level; support internal
corporate communication on safety topics; generate multimodal (textual, visual, multimedia) marketing and
awareness content. Experimental validation will involve workers from different sectors, measuring training
effectiveness, communicative engagement and impact on injury-risk reduction.
Italy
Eligibility of fellows: country/ies of residence:
EUROPE
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr