Development of Multi-Armed Bandit Techniques for Behavioral Recommendations in Oncology” - 2026_IDR_DEIB_76

The project aims to develop and evaluate Multi-Armed Bandit (MAB) techniques for personalized behavioral recommendations in oncology. The main objective is to design adaptive algorithms that progressively learn from user interactions and identify effective, personalized recommendation strategies. Activities will include a review of the state of the art, algorithm design and implementation, and evaluation using available data or simulated environments. The project will assess the feasibility, performance, and potential applicability of the proposed approaches in oncological settings.

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 60 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 15 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 15 points)

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