AI-driven structural health monitoring for real-time decision support - 2026_IDR_DMEC_15

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
Posted on: 29/04/2026 Deadline: 04/06/2026

Scientific-Disciplinary Group

09/IIND-02 - Applied Mechanics

Description

The research program aims at developing advanced methodologies for structural health monitoring of civil infrastructures using artificial intelligence techniques, with particular focus on deep learning and reinforcement learning. The objective is to design models capable of processing data from sensor networks and inspection systems (e.g., structural sensors, images, environmental data) to enable early anomaly detection, estimate damage evolution, and support real-time operational decision-making. The project also involves the integration of data-driven models with physics-based knowledge (physics-informed approaches) to enhance the reliability and robustness of predictions, even in the presence of incomplete or noisy data.

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 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)

View the original posting on the MUR website: Go to MUR website

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