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

Description

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. 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 Information science » Other Education Level Master Degree or equivalent Skills/Qualifications Candidates should hold a master's degree in economics and management, communication or related disciplines, with skills in marketing, corporate communication and digital innovation management. Familiarity with generative artificial intelligence technologies (Large Language Models, conversational agents, RAG systems) and their organisational applications is required, without the need for advanced software development skills. Duties include: designing the training, communication and marketing content delivered through AI agents; defining functional requirements and content-personalisation strategies based on the user profile; conducting usability and communicative/training-effectiveness tests with workers from different sectors; analysing experimental results and drafting reports and scientific publications. Ability to work in interdisciplinary teams and good knowledge of English are required. Specific Requirements 1. Bachelor’s degree 2. Ph.D. or equivalent degree, earned in Italy or abroad 3. Documented research experience relevant to the program outlined in the position 4. Scientific publications relevant to the research program 5. Participation in national and international mobility programs for scientific activities 6. Knowledge of a foreign language Languages ENGLISH Level Good Languages ITALIAN Level Good Additional Information: Website for additional job details https://www.unimc.it/it/ateneo/bandi-e-concorsi/finaziamenti-ricerca/incarichi-…

Sectors

Source

Source: euraxess.ec.europa.eu