Development of Multimodal Artificial Intelligence Methodologies for Recommendation, Retrieval, and Assisted Content Generation in Industrial Applications.

Università Politecnica delle Marche

Italia

In loco

EUR 32.000 - 42.000

Tempo pieno

13 giorni fa

Generatore di candidature

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Descrizione del lavoro

Università Politecnica delle Marche invites applications for a research fellow to study, design, and develop multimodal Artificial Intelligence methodologies for an experimental prototype of an intelligent platform supporting the assisted design of luxury packaging.

The project emphasizes integrating Large Language Models, Vision-Language Models, Computer Vision, and Retrieval-Augmented Generation to analyze corporate knowledge, process textual and visual data, and generate design concepts

Descrizione del lavoro

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.