Department of Engineering
In the field of infrastructure monitoring, current practices heavily rely on visual inspections that detect surface-level defects, which can miss underlying issues critical to structural integrity. In contrast, muon flux tomography (MFT) a game changing technology likened to an MRI for infrastructure can provide detailed internal imaging that enables a much deeper understanding of structural health. This ICASE studentship focuses on pioneering data fusion and processing techniques to integrate MFT data into a digital representation of the infrastructure asset suitable for Building Information Modelling (BIM). In collaboration with GScan, a leader in MFT technology, this EPSRC-funded PhD project will develop an advanced processing framework that enables accurate, high-resolution BIMs of reinforced concrete tunnel and bridge structures. By refining MFT data processing, improving spatial resolution, and optimising integration with BIM, this research will create a new tool for structural monitoring and predictive lifecycle management, enhancing infrastructure resilience and longevity.
We are seeking candidates with a strong background and academic track record in information engineering / computer science / ML. The successful applicant will have strong coding skills, a demonstrated ability to liaise with industry and an interest in future construction.