Learning algorithms for information markets, BANDO FIS 3 ID FIS-2024-05736/STRATDATA - CUP: D53C25002380001 - 2026_IDR_DEIB_14

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
Posted on: 10/03/2026 Deadline: 16/04/2026

Scientific-Disciplinary Group

09/IINF-05 - Information Processing Systems

Description

The research activity will focus on the development of machine learning algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties (statistical and/or computational); and, where appropriate, their implementation and experimental validation through simulation. The research will make use of techniques from online learning and multi-agent learning (e.g., game theory). Funded by Ministero dell’Università e della Ricerca under the FIS3 Call (Fondo Italiano per la Scienza). Project FIS-2024-05736 (Starting Grant), title: “Towards a trustworthy strategic use of data in machine learning pipelines”. CUP: D53C25002380001.

Job posting website

https://www.polimi.it/en/bandi-incarichidiricerca

Number of positions

1

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

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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 30 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 30 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 20 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 20 points)

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