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Deep Learning for Inverse Scattering Problems

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Deep Learning for Inverse Scattering Problems” led by Dr Simon Shaw in the Department of Mathematics.

Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).

You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.

The Project

This research project is focused on inverse scattering. When an incident probing electromagnetic, acoustic or elastic field is launched into a medium that contains an object, that object will disturb the field and scatter it. This disturbance can be detected, and this project will explore the use of Deep Learning to use these detected signals to determine the shape of the object.

Please contact Dr Simon Shaw at simon.shaw@brunel.ac.uk to find out more.

Eligibility

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in mathematics or another highly numerate subject. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.

Skills and Experience

You will be at an advantage if you can demonstrate knowledge of elliptic partial differential (e.g. Helmholtz) equations, experience in scientific computing (e.g. matlab, python, C/C++), and/or experience in the configuration and use of off the shelf PDE and deep learning software. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.

How to apply

Email the documents below as a single PDF file to cedps-studentships@brunel.ac.uk by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.

  • Your up-to-date CV;
  • Your 300-word personal statement setting out why you are suitable for this position;
  • Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
  • Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
  • Two references, one of which can be provided by a member of Brunel University academic staff.

Interviews will take place in June 2022.

Meet the Supervisor(s)


Simon Shaw - Simon Shaw is a reader in the Department of Mathematics in the College of Engineering, Design and Physical Sciences, and belongs to the Applied and Numerical Analysis Research Group. He is also a member of the Structural Integrity theme of our Institute of Materials and Manufacturing, and of the Centre for Assessment of Structures and Materials under Extreme Conditions, and of the Centre for Mathematical and Statistical Modelling. Shaw was initially a craft mechanical engineering apprentice but (due to redundancy) left this to study for a mechanical engineering degree. After graduation he became an engineering designer of desktop dental X Ray processing machines, but later returned to higher education to re-train in computational mathematics. His research interests include computational simulation methods for partial differential Volterra equations and, in this and related fields, he has published over thirty research papers. He is currently involved in an interdisciplinary project that is researching the potential for using computational mathematics as a noninvasive means of screening for coronary artery disease. Personal home page: http://people.brunel.ac.uk/~icsrsss