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We invite applications for a PhD student position within the project, "Improved Use of Out-of-Round Railway Wheel Detectors." This project involves advanced simulations of dynamic vehicle-track interaction combined with extensive field measurements. A digital twin of the detector will be created to train a machine learning model for predicting dynamic wheel loads. The overarching aim is to enhance regulations and procedures concerning damaged railway wheels, focusing on structural reliability, life cycle cost (LCC), and environmental impact.Project overviewThe PhD project seeks to enhance regulations for handling damaged railway wheels. Key tasks include:• Verifying the accuracy of Wheel Impact Load Detectors (WILDs).• Improving data interpretation and developing a framework for categorisi...