Development of Artificial Intelligence Models for the Reliability and Maintenance of Energy and Industrial Systems and Structures - 2026_IPD_DENG_5

Position: Post-doctoral research appointment Institute: Polytechnic of Milano
Posted on: 03/07/2026 Deadline: 03/08/2026

Scientific-Disciplinary Group

09/IIND-07 - Thermal Sciences, Energy Technology, Building Physics And Nuclear Engineering

Description

The research activity will be conducted within the framework of the PRIME project, funded by INAIL through the 'BRiC-2025' call, and will focus on the development of Artificial Intelligence (AI) models for automated anomaly detection in energy and industrial systems and structures, fault diagnosis, and component remaining useful life prediction, for reliability and maintenance purposes. Compared to the state of the art, the innovation will consist in the integration of advanced AI techniques to manage multi-source data, estimate the uncertainty associated with assessments and predictions, utilize both field and simulated data, and provide interpretable results, thereby consolidating trust in the use of AI solutions. The successful candidate will also collaborate on teaching activities within the courses delivered by the LASAR3 group in Master’s degree programs, focusing particularly on AI for the Reliability, Availability, Maintainability, and Safety (RAMS) of systems, plants, and stru

Job posting website

https://www.polimi.it/en/post-doctoral-contracts

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/post-doctoral-contracts Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the activity covered by the contract, as well as at assessing their knowledge of English and/or other languages relevant to the activities to be performed (up to 35 points) Relevance and pertinence of the enclosed publications to the activity covered by the contract (up to 30 points) Relevance and pertinence of previous research activities, previous collaborations to educational and third mission activities and work experience, if any, in relation to the activity covered by the contract (up to 20 points) Relevance and pertinence of their study programme to the activities covered by the contract (up to 15 points)

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

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