Health Monitoring of Aerospace Components Digital Twin Approach - _CDR_DMEC_
Listed on 2026-01-12
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Research/Development
Data Scientist, Research Scientist, Research Analyst, Research Assistant/Associate
Location: Town of Italy
Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Final date to receive applications 22 Jan 2026 - 12:00 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
The project aims to develop an advanced system for assessing the health of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating costs, and increase mission safety and reliability.
quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 10 points)
relevance and significance of previous research activities and professional experience in relation to the research program (up to 20 points)
relevance of submitted publications with respect to the research program (up to 10 points)
interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 60 points)
- EUROPE
Eligibility of fellows: country/ies of residence:
- All
Eligibility of fellows: nationality/ies:
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