Advanced methods for inverse problems based on differential models and data-driven approaches - 2026_IDR_DMAT_3

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
New! Posted on: 25/02/2026 Deadline: 23/03/2026

Scientific-Disciplinary Group

01/MATH-05 - Numerical Analysis

Description

The research program aims to develop methods for the solution of inverse problems, with particular emphasis on imaging applications, by integrating approaches at the interface of Numerical Analysis, Optimal Control, and Machine Learning. The objective is to estimate unobservable quantities from indirect measurements, which are related to them through differential models describing the underlying physics of the phenomenon. These problems will be formulated as PDE-constrained optimal control problems. Their solution will be supported by data-driven methodologies at multiple levels: for example, by restricting the solution space through the introduction of priors learned from precomputed datasets, or by accelerating the solution of the forward problem. Project funded by Ministero dell’Università e della Ricerca in the context of FIS 2, SYNERGIZE, code FIS-2023-02228, CUP D53C24005440001.

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