Seeing extreme winds: Using video clips to improve wind hazard estimates for risk mitigation

This PhD project will contribute to solving the real-world challenge of estimating wind hazard for industrial/commercial property by applying image analysis techniques to short video clips of trees. You will have the opportunity to conduct an exciting blend of observational work (field & laboratory), physical modelling and image analysis. We envisage a campus-scale study linked to the university’s weather station, a variety of image collection (initially with a mobile phone, then exploring the intriguing possibility of quasi-continuous CCTV camera data), and possibly wind tunnel experiments. Initially, work will build on data from a pilot study and existing particle-tracking code to create a local (micro-scale) map of wind hazard. The final aim is to create a proof-of-concept tool for high-resolution, low cost mapping (i.e. high/low hazard areas) without installing specific technology (wind meters) enabling site-specific recommendations on mitigation (e.g. tree planting as a shield).

This PhD project will be one of six PhD projects being pursued in a cross-disciplinary mini-College of Doctoral Training (mini-CDT) running at Loughborough University from 2022 to 2026. This mini-CDT is part financed and supported by the WTW Research Network, the award winning collaboration between academia, finance and research industries on the understanding and quantification of risk.

This industry collaboration builds on the earlier partnership between Loughborough University and WTW in the recently completed TECHNGI research project on technology and next generation insurance services. A full description of the mini-CDT, of the individual PhD projects and of the support provided by the WTW Research Network is here.

Supervisors

Primary supervisor/CDT lead: Dr John Hillier

Secondary supervisors: Dr Sarah Bugby and Dr Tim Marjoribanks

Entry requirements for United Kingdom

Applicants should have or expect to achieve at least a 2:1 Honours degree (or equivalent). A relevant master’s degree or work experience would be advantageous.

This PhD involves engineering in the sense that it creates a practical solution, but we also encourage applicants with strong technical competence in relevant fields such as Physics and Geography. Knowledge of image analysis, fluids and/or mechanics would be helpful. A keen curiosity about our natural environment and the ability to program is critical.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

Find out more about research degree funding

How to apply

All applications should be made online. Under programme name, select Geography and Environment.

Please quote the advertised reference number: GE23-JH-CDT in your application. See studentship assessment criteria.

Please upload with your application the following supporting documents:

• A curriculum vitae
• An 800 word covering letter explaining your interest in, and aptitude for, the topic of this research project, and the qualities you can bring to the project
• Copies of your transcripts/certificates, English Language certificate
• The details for two academic referees who will be contacted if you are invited to interview (ideally one from your Masters degree)

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

Interviews are due to take place late February.

Apply now