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PhD Studentship in Computer Vision and Deep Learning for Object Recognition and Autonomous Vehicles

Department of Electrical & Electronic Engineering

Location:  Guildford
Post Type:  Full Time
Advert Placed:  Monday 10 April 2017
Closing Date:  Friday 30 June 2017
Reference:  029817
Details: Applications are invited for a fully funded PhD studentship within the Centre for Vision Speech and Signal Processing at the University of Surrey. The funding is for a three year research programme leading to the degree of PhD. The project will investigate the application of deep learning for augmented reality navigation and autonomous control of vehicles. It will involve the development of object recognition and data fusion techniques with a view to providing augmented navigational data and autonomous control.
This project will be under the supervision of Richard Bowden within the Centre for Vision Speech and Signal Processing (http://personal.ee.surrey.ac.uk/Personal/R.Bowden/)
Eligibility: A first Class or Upper Second Honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g., engineering, computer science, signal processing, applied mathematics, physics). You should be able to demonstrate excellent mathematical, analytic, programming skills. Previous experience in computer vision, machine/deep learning, or augmented reality would be advantageous.
Formal applications should be made here http://www.surrey.ac.uk/postgraduate/electronic-engineering-phd making clear reference to the post and “Prof Bowden (CVSSP)”
Funding: This is an industrial funded studentship in collaboration with an external partner. The studentship covers the University tuition fees (at EU/UK level) and provides an annual tax free stipend (rate for 2016-2017 is £14,553 p.a. tax-free).  NB it will not cover the overseas tuition fees (currently £17.5K or £20K from Oct 2017) for students who are outside of the EU.
Enquiries: Richard Bowden (r.bowden@surrey.ac.uk).
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