Pica Code IR-2026-110 Retrieval-Augmented Generation (RAG) models for the horizontal services of the Italian AI Factory

Italian Ministry of Education, University and Research

Italia

On-site

EUR 35,000 - 55,000

Full time

5 days ago
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Job summary

Unimore in Italy seeks a recognised researcher to contribute to the IT4LIA project, within Work Package 4 Horizontal Services and Task 4.2 AI Development. The role focuses on developing RAG-based AI solutions and multimodal model integration, with evaluation activities linked to Task 4.3 AI Test for SMEs and startups.

The selection is a selective public procedure based on qualifications and interview, with eligibility constraints noted and the project’s objective to advance AI-enabled services

Qualifications

  • selective public procedure based on qualifications and interview
  • Eligibility of fellows: country/ies of residence: OTHER
  • Eligibility of fellows: nationality/ies: OTHER

Responsibilities

  • The position is part of Work Package 4 "Horizontal Services" of the IT4LIA project, in Task 4.2 "AI Development", which includes AI Factory services and the facilitated setup of Retrieval-Augmented Generation (RAG) solutions and multimodal model integration for SMEs and startups, with evaluation in Task 4.3 "AI Test".

Job description

Organisation/Company Unimore Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 24 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

The position is part of Work Package 4 "Horizontal Services" of the IT4LIA project, in which the Department is a beneficiary, and specifically of Task 4.2 "AI Development", which includes among the services offered by the AI Factory the facilitated setup of Retrieval-Augmented Generation (RAG) services and the integration of multimodal models, with an impact on Task 4.3 "AI Test" for the evaluation of solutions and the development of proofs of concept for SMEs and startups. (omissis)

  • Italy

Eligibility of fellows: country/ies of residence:

  • OTHER

Eligibility of fellows: nationality/ies:

  • OTHER
Selection process

selective public procedure based on qualifications and interview

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