PhD Studentship Opportunity in Computer Vision and Deep Learning for Autonomous Vehicles Guidance and Navigation

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 AI and computer vision approaches to perception and its use for long term path planning and navigation. The work will focus on deep learning applied to local perception and will investigate semantic segmentation in the image plane integrated into a ROS control and path planning system vs Birds Eye View (BEV) estimation direct from images using deep learning. Local perception will be fused with live information from multiple sources, each of which has unique error characteristics, and the fused data will be used for guidance through the application of collision avoidance rules.

This is a 4 year project starting as soon as possible on or after 1 October 2020.

Entry requirements:
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.

How to apply:
Informal enquiries should be sent to [Email Address Removed]
Formal applications should be made through the Vision, Speech and Signal Processing PhD course page making clear reference to the post and “Prof Bowden (CVSSP)”
https://www.surrey.ac.uk/postgraduate/vision-speech-and-signal-processing-phd#apply

About the Centre for Vision, Speech and Signal Processing:
The Centre for Vision, Speech and Signal Processing (CVSSP) is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1st in the UK and 3rd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 170 researchers and a grant portfolio in excess of £24 million, bringing together a unique combination of cutting-edge sound and vision expertise. Our aim is to advance the state of the art in multimedia signal processing and computer vision, with a focus on image, video and audio applications. Our Centre has a robust track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR), communication, healthcare, robotics and consumer electronics.