Development and application of mild-slope computational models for the assessment of meteorological tsunami hazard in the UK PhD

Mathematical Sciences
Entry requirements:
3 years
not available
Reference number:
Start date:
01 October 2018
Is funding available?
UK/EU fees:
International fees:
Application deadline:
16 February 2018



of research classed as 'internationally recognised'

REF 2014


in the UK for Mathematics

The Complete University Guide 2018


Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. 

Project detail

This project will offer you the opportunity to work at the forefront of applied mathematics research in meteorological tsunami modelling, collaborating with world-leading research institutions such as the British Geological Survey and Met Office. This is your chance to take part in a project that will have a real-world impact in shaping policies and public behaviour that will ultimately save lives. This project will offer you excellent opportunities of career progression in academia (applied mathematics, fluid dynamics, natural hazards), industry (consultancies, think tanks, multinational insurance companies) and governmental organisations.

Meteorological tsunamis (meteotsunamis) are large waves generated by storms at sea, which have already killed tens of people in the last century in the UK. Unfortunately, the current British technology is unable to forecast meteotsunamis. Now, a team led by Dr Renzi and supported by a recent EPSRC grant are developing novel mathematical models to make meteotsunami prediction possible. You will work with Dr Renzi’s team to solve the governing differential equations with computational fluid dynamics software. You will:

  • Support the project team in processing mathematical data describing sea bottom profile and atmospheric forcing conditions that lead to meteotsunamis
  • Support the project team in developing and testing solutions to the mild-slope differential equation
  • Apply the mathematical models to real scenarios in order to assess the meteotsunami hazard risk in Great Britain.

Dr Renzi’s group is working in partnership with Professor David Tappin of the British Geological Survey, a world-leading expert in tsunamis generated by non-conventional sources, and with Met Office, UK’s premier provider of meteorological data.


Primary supervisor: Dr Emiliano Renzi

Secondary supervisor: Dr Gennady El

Find out more

For further project details email Dr Emiliano Renzi or register your interest and ask us a question.

To find out more about postgraduate research in the School of Science please visit our website.

Entry Requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Applied Mathematics or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Fluid Mechanics, Computational Fluid Dynamics.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

This studentship will be awarded on a competitive basis to applicants who have applied to this project and/or any of the advertised projects prioritised for funding by the School of Science.

The 3-year studentship provides a tax-free stipend of £14,553 (2017 rate) per annum (in line with the standard research council rates) for the duration of the studentship plus tuition fees at the UK/EU rate.  International (non-EU) students may apply however the total value of the studentship will be used towards the cost of the International tuition fee in the first instance.

How to apply

All applications should be made online. Under programme name, select ‘Mathematical Sciences’.

Please quote reference number: ER/MA/2018

Application details

Reference number:  ER/MA/2018
Start date: 01 October 2018
Application deadline: 16 February 2018