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

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.

Selection process

In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca 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)

Job posting website How to apply Original MUR listing

Back to jobs