Agentic AI Methods for Adaptive Learning and Personalized Self-Assessment - 2026_IDR_DEIB_73

Italian Ministry of Education, University and Research; Italy; On-site; EUR 32,000 - 52,000; Full time

Job summary

Politecnico di Milano invites applications for a recognised researcher Fellowship focusing on Agentic AI and generative models to enable adaptive learning in higher education. The program includes oral testing to assess aptitude and suitability for the research activity, as well as evaluation of English and/or other languages related to the research tasks to be performed.

Additional scoring considers the relevance of your publications, theses, and prior research activities to the fellowship's

Qualifications

• Oral test assessing aptitude and suitability for the research activity
• Assessment of English and/or other languages relevant to the research activities (up to 70 points)
• Relevance and pertinence of publications and prior research activities

Responsibilities

• Study, develop, and evaluate methods based on Agentic AI and generative models for adaptive learning in higher education.
• Address personalized generation of exercises and exam simulations, self-assessment, and adaptive feedback considering student proficiency and learning difficulties.

Job description

Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 18 Dec 2026 - 12:00 (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 program focuses on studying, developing, and evaluating methods based on Agentic AI and generative models for adaptive learning in higher education. Activities will address the personalized generation of exercises and exam simulations, self-assessment, and adaptive feedback, taking into account students’ proficiency levels and learning difficulties.

Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 70 points)

Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 10 points)

Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 10 points)

Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 10 points)

• EUROPE

Eligibility of fellows: country/ies of residence:

• All

Eligibility of fellows: nationality/ies: