Artificial Intelligence and Heterogeneous Data Fusion Methods for SHM of Smart Masonry Structures

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ba2em

Organisation/Company: Università degli studi di Perugia
Research Field: Engineering Researcher Profile
Researcher Levels: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Application Deadline: 20 Jul 2026 23:59 UTC
Country: Italy
Type of Contract: To be defined
Job Status: Not Applicable
EU Research Framework Programme: Not funded by a EU programme
Research Infrastructure Staff Position: No
Offer Description
The researcher will contribute to the FIS 2021 project SMS‐SAFEST through the development of advanced methodologies for the structural health monitoring of smart masonry structures subjected to static and seismic actions.



Activities will include the integration and fusion of data collected from smart bricks and smart mortars using machine learning and artificial intelligence techniques for damage identification and classification, detection of failure mechanisms and attained limit states, as well as the estimation of residual load-bearing capacity. The researcher will also contribute to the numerical modelling of full‐scale masonry structures through nonlinear static and incremental dynamic analyses aimed at validating the Structural Health Monitoring strategies developed within the project. Finally, activities will include support for the design, construction, and experimental validation of smart masonry prototypes and innovative systems for damage detection and localisation.
Location: Italy
Eligibility of fellows: country/ies of residence:
OTHER
J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ba2em