Funding: Funded PhD Project (UK and EU students only)

Project code: SCES4560220

Department: School of Civil Engineering and Surveying

Start dates: October 2020

Closing date: 23 February 2020

Applications are invited for a fully-funded 3-year PhD to commence in October 2020.

The Project

The PhD will be based in the Faculty of Technology, and will be supervised by Dr Jiye Chen.

Candidates applying for this project may be eligible to compete for one of a small number of bursaries available; these cover tuition fees at the UK/EU rate for three years and a stipend in line with the UKRI rate (£15,009 for 2019/2020). Bursary recipients will also receive a £1,500 p.a. for project costs/consumables.

The work on this project will:

  • Collect/conduct camera images with multiscale damage, including macro and micro damage to build up the capability of artificially intelligent camera imaging algorithm (AIMCIA) to graphically recognise visible and invisible damage.
  • Develop the Image Benchmarks of Multiscale Damage (IBMD), including various common crack damage and corrosion damages into the image database, to underpin the AIMCIA.
  • Develop the proposed AIMCIA in terms of Convolutional Neural Networks with Multitask Learning technology for graphically recognising various types of multiscale damage.
  • Verify/adjust the AIMCIA and IBMD using selected images with common cracks and corrosion damages, especially damage mixed with dust particles, and invisible damage at the micro scale.
  • Validate the proposed AIMCIA using objects such as a marina seawater tank, a wing box or a blade joint in airplanes, selected by leading industrial partners.

Entry requirements

General admissions criteria

You’ll need an upper second class honours degree from an internationally recognised university or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

Specific candidate requirements

Ideally, you should have a first degree in an appropriate subject, e.g. Computer Science or Computing. A Postgraduate qualification related to Computer Science, Computer image process or Computer Graphical recognition would be welcomed.

Find out more about the project, the Supervisors and how to apply

Funding Information

Funding applies to:

Funded PhD Project (UK and EU students only)

Application Deadline:

23 February 2020

Please see our website for how to apply:
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