Development of Multimodal Artificial Intelligence Methodologies for Recommendation, Retrieval, and A
Descrizione dell'offerta
Organisation/Company Università Politecnica delle Marche Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 5 Oct 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
The research activity will focus on the study, design, and development of innovative multimodal Artificial Intelligence methodologies for the implementation of an experimental prototype of an intelligent platform supporting the assisted design of luxury packaging, through the integration of Large Language Models, Vision-Language Models, Computer Vision techniques, and Retrieval-Augmented Generation. The prototype will be aimed at the analysis and representation of corporate knowledge, the processing of textual and visual data, the semantic retrieval of information from knowledge bases and multimedia repositories, as well as the generation of design concepts consistent with the functional, aesthetic, and manufacturing requirements of packaging. The research activity will also include the study of Explainable AI methodologies to enhance the interpretability of the developed models, as well as Efficient AI techniques aimed at optimizing AI models. Italy Eligibility of fellows: country/ies of residence: AFRICA EUROPE OCEANIA NORTH AMERICA SOUTH AMERICA ASIA Eligibility of fellows: nationality/ies:
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The research activity will focus on the study, design, and development of innovative multimodal Artificial Intelligence methodologies for the implementation of an experimental prototype of an intelligent platform supporting the assisted design of luxury packaging, through the integration of Large Language Models, Vision-Language Models, Computer Vision techniques, and Retrieval-Augmented Generation. The prototype will be aimed at the analysis and representation of corporate knowledge, the processing of textual and visual data, the semantic retrieval of information from knowledge bases and multimedia repositories, as well as the generation of design concepts consistent with the functional, aesthetic, and manufacturing requirements of packaging. The research activity will also include the study of Explainable AI methodologies to enhance the interpretability of the developed models, as well as Efficient AI techniques aimed at optimizing AI models. Italy Eligibility of fellows: country/ies of residence: AFRICA EUROPE OCEANIA NORTH AMERICA SOUTH AMERICA ASIA Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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