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Computer Vision and Deep Learning for Object Recognition and Autonomous Vehicles

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

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.

Informal enquiries should be sent to .

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 Notes

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.

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