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

Loughborough University - Department of Mathematical Sciences

Reference number: ER/MA/2018
Start date of studentship:  1st October 2018
Closing date of advert: 16th February 2018 

Supervisors:

Primary supervisor: Dr Emiliano Renzi
Secondary supervisor: Dr Gennady El

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.

Loughborough University is a top-ten rated university in England for research intensity (REF2014). 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.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Department of Mathematical Sciences: http://www.lboro.ac.uk/departments/maths/

Full Project Detail:

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.

Find out more:

http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R015899/1
http://www.lboro.ac.uk/science/study/postgraduate-research/studentships/

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.

Funding information:

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.

Contact details:

Name: Dr Emiliano Renzi
Email: e.renzi@lboro.ac.uk
Tel: 01509223186

How to apply:

Applications should be made online at http://www.lboro.ac.uk/study/apply/research/.  Under programme name, select Mathematical Sciences.

Please quote reference: ER/MA/2018

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Midlands of England