PhD in AI-Enhanced X-ray CT for Defect Detection in Advanced Manufacturing University of Southampton in United Kingdom

PhD opportunity at the University of Leeds in AI for Structural Engineering , supervised by Professor David Connolly in the School of Civil Engineering . This project sits at the intersection of civil engineering , computer science , machine learning , computer vision , digital twins , physics-informed neural networks (PINNs) , and materials science . Research themes include generative design, structural optimization, predictive health monitoring, automated defect detection, real-time sensor int...

Fully funded PhD studentship at The University of Manchester in the Department of Materials , focused on AI for Engineering . The project is flexible and will be developed jointly with the supervisor based on the candidate’s background and research interests. Possible research directions include 3D body scanning and measurement , garment fit evaluation , cloth simulation , digital twins , wearable sensing , smart textiles , and AI methods for clothing and body data analysis . This opportunity is...

PhD opportunity at the University of Southampton in the Faculty of Engineering and Physical Sciences, working with the µ-VIS facility , a dedicated X-ray Computed Tomography (XCT) centre and part of the UK’s National Facility for lab-based XCT. The project is titled Evaluating defect detectability for iteratively reconstructed industrial X-ray computed tomography data and focuses on industrial X-ray computed tomography , iterative reconstruction , machine learning , optimization algorithms , com...

PhD opportunity at Loughborough University in AI in Mechanics of Nonwoven Materials . The project combines mechanical engineering , materials science , and computer science to develop an AI-driven design framework for nonwoven fabrics. The research focuses on analysing 3D microstructure and fibre orientation in nonwovens, modelling deformation and recovery using multi-scale nonlinear finite element analysis, and building a machine learning-based software tool in Python/MATLAB to predict and opti...

PhD opportunity at the University of Southampton in deep equilibrium machine learning models for the efficient reconstruction of X-ray tomographic images . This project sits at the intersection of machine learning , computer vision , inverse problems , optimization , applied mathematics , and X-ray physics . The goal is to develop advanced AI tools that convert real X-ray measurement data into artefact-free 3D images, with a focus on realistic X-ray tomography (XCT) settings and large datasets. ...