Civil Engineering: Fully Funded EPSRC and Swansea PhD Scholarship: Physics Informed Machine Learning in High-Speed Railway Infrastructure Safety Analysis (RS567)

  • DeadlineDeadline: 1 April 2024
  • WalesWales

Description

Closing date: 1 April 2024

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 supervisors:

Aligned programme of study: PhD in Civil Engineering

Mode of study: Full-time

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.

For more details please see here: https://www.swansea.ac.uk/postgraduate/scholarships/research/civil-engineering-epsrc-su-phd-physics-2023-rs567.php

Entry Requirements

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 (see country specific qualifications). 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.

If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web-link to the scholarship(s) you are interested in.

Fees

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.

How To Apply

To apply, please complete your application online with the following information:

1. Course choice – please select Civil Engineering / PhD / Full-time / 3 Year / July

In the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.

2. Start year – please select 2024
3. Funding (page 8) –

  • ‘Are you funding your studies yourself?’ – please select No
  • ‘Name of Individual or organisation providing funds for study’ – please enter ‘RS567 –  Machine Learning

*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.

One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.

We encourage you to complete the following to support our commitment to providing an environment free of discrimination and celebrating diversity at Swansea University:

As part of your online application, you MUST upload the following documents (please do not send these via email):

  • CV
  • Degree certificates and transcripts (if you are currently studying for a degree, screenshots of your grades to date are sufficient)
  • A cover letter including a ‘Supplementary Personal Statement’ to explain why the position particularly matches your skills and experience and how you choose to develop the project.
  • Two references (academic or previous employer) on headed paper or using the Swansea University reference form. Please note that we are not able to accept references received citing private email accounts, e.g. Hotmail. Referees should cite their employment email address for verification of reference.
  • Evidence of meeting English Language requirement (if applicable).
  • Copy of UK resident visa (if applicable)
  • Confirmation of EDI form submission (optional) 

Informal enquiries are welcome, please contact Dr Yue Hou (yue.hou@swansea.ac.uk).

*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable.

Who is eligible to apply?

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. 

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