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  Industrial PhD Studentship in Unmanned Aerial Vehicles for Mine DetectionDefence Science and Technology Laboratory (Dstl)


   Department of Electronic and Electrical Engineering

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  Prof Anthony Peyton  Applications accepted all year round  Funded PhD Project (UK Students Only)

About the Project

This joint university / industry PhD offers an exciting opportunity to undertake research on novel ground penetrating radar (GPR) synthetic aperture radar (SAR) systems. The research is aimed at advancing the state-of-the-art in the deployment of mine detection systems from unmanned air vehicles. The growing commercial interest in airborne systems that are capable of detecting buried targets for a range of defence, geotechnical and humanitarian applications and the skills acquired in this project will be in demand across a broad range of industries.

The successful candidate will join a well-established team of engineers and scientists, with a proven track record of research and technology transfer across a broad range of electromagnetic inspection applications. The research will be split between sites and is likely to involve some travel.

Funding Notes

Funding: The award will cover tuition fees at the UK / EU rate. The annual stipend, including enhancement, is £18,000 (tax free) p.a. In addition, the necessary travel and consumable costs associated with the project are also supported.

References

Candidates must be a UK citizen and have a 1st or high 2i in a relevant Engineering subject, Physics or Mathematics. The ideal candidate will also have a strong interest in problem solving, an enthusiasm for modelling and hardware design, an ability to convert theoretical understanding into practical solutions and an ability to work in a multidisciplinary team with physicists, application engineers, business managers and end-users.


For further information about this Project Contact: Prof. Tony Peyton, a.peyton@manchester.ac.uk or 0161 306 8716.

How to Apply: In the first instance, please send a CV and 1 page accompanying statement to Mrs Marie Davies, Postgraduate (Research) Team Leader, email M.B.Davies@manchester.ac.uk quoting the project reference number CASE/GPR-UV/UM/1603.