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Multidimensional localised patterns in fluids

   Department of Mathematics

  Prof David Lloyd,  Friday, July 22, 2022  Competition Funded PhD Project (UK Students Only)

About the Project

Spatially localised behaviour occurs in a wide range of fluid problems from water waves to convection. In this project we would use a combination of analytical and numerical methods to investigate the emergence and properties (e.g. stability) of spatially localised patterns that occur on the surface of a magnetic fluid and vertically vibrated fluids. This project would be perfect for a candidate that enjoys a mixture of nonlinear dynamical systems analysis, partial differential equations, and numerical methods.

The successful candidate will receive comprehensive research training related to all aspects of the research and opportunities to participate in conferences, workshops and seminars to develop professional skills and research network.

Supervisors: Professor David Lloyd and Dr Matthew Turner.

This is a minimum 3 year project. We are able to offer this opportunity starting in October 2022.

Entry requirements

Applicants should have a minimum of a first class honours degree in mathematics, the physical sciences or engineering. Preferably applicants will hold a MMath, MPhys or MSc degree, though exceptional BSc students will be considered.

English language requirements: IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.

How to apply

Applications should be submitted via the Mathematics PhD programme page on the "Apply" tab.

Please state clearly the studentship project at you would like to apply for.

Funding Notes

Full UK tuition fees and a tax-free stipend. This project is on offer in competition with a number of other projects for funding. This opportunity may be available with partial funding for overseas fees for exceptional applicants. However, funding for overseas students is limited and applicants are encouraged to find suitable funding themselves. Funded by the University of Surrey.

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