AI Agents for Occupational Safety: Training for Injury Prevention, Internal Communication and Marketing

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description This 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. Where to apply Website https://pica.cineca.it/unimc/idr-004-2026/ . Requirements Research Field Economics » Business economics Education Level Master Degree or equivalent . Research Field Economics » Economic theory Education Level Master Degree or equivalent . Research Field Communication sciences » Business communication Education Level Master Degree or equivalent . Research Field Sociology » Other Education Level Master Degree or equivalent . Research Field Informa