Fully Funded EPSRC and Swansea PhD Scholarship: Physics Informed Machine Learning in High-speed Railway Infrastructure Safety Analysis

Funding providers: Engineering and Physical Sciences Research Council (EPSRC) DTP and Swansea University's Faculty of Science and Engineering 

Subject areas: Civil Engineering

Project start date: 

• 1 July 2024 (Enrolment open from mid-June)

Project description:  

The comfortability of high-speed railway (HSR) is crucial as it directly affects passengers’ willingness of selection. In current engineering practice, the normal way is to analyse it through Newmark integration method based on the monitored data of vibration, acceleration, substructure deformation, etc. Recently, with the development of machine learning, data-driven method has become a powerful tool for civil engineers. Especially, Physics Informed Machine Learning (PIMM) can be used as a comprehensive analysis considering both physics-based analysis, i.e. the HSR dynamics, and the data-based analysis, i.e. deep learning methods. This project aims to analyse the HSR comfortability using PIMM and will validate the applicability and test the accuracy on real HSR engineering projects.

Eligibility

Candidates must hold an Upper Second Class (2.1) honours degree in Engineering or similar relevant science discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency.

Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations .

Additional Funding Information

This scholarship covers the full cost of UK tuition fees and an annual stipend of £18,622 at UKRI rate.

Additional research expenses will also be available.