Computer Vision and Deep Learning for Object Recognition and Autonomous Vehicles

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 [Email Address Removed].

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)”