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Research Fellow: Deep Learning for Event Cameras

University of Surrey - Department of Electrical & Electronic Engineering

Location: Guildford
Salary: £31,302 to £39,609 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th August 2019
Closes: 15th September 2019
Job Ref: 062119

Fixed Term Contract: Until 30/11/2022

Interview Date: To be confirmed

The Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey seeks to recruit an outstanding postdoctoral researcher in the fields of Computer Vision and Deep Learning. The post is part of a 3 year EPSRC funded research project. 

The project is focussed on developing a new deep-learning toolkit and techniques, to support state-of-the-art deep-learning with modern asynchronous visual sensors (such as event cameras by prophesee.ai or inivation.com). Unlike initial research in this area, we will attempt to avoid intermediary image representations, instead developing techniques that operate on the raw event stream. This will allow the special properties of the sensor (particularly it's low latency) to be preserved. Applications of this research will range from robotics to autonomous vehicles and more. 

Successful applicants will work under the supervision of Dr Simon Hadfield, with full access to the resources provided by Surrey’s Centre for Vision Speech and Signal Processing. CVSSP is the largest UK academic research institute focussed on computer vision & machine learning (around 200 active research staff). This role provides the opportunity to work alongside world leading researchers in computer vision and deep learning, while also being able to interact remotely with a wealth of industrial collaborators. 

By the start date of the post, the potential applicant should either hold, or have submitted, a PhD in a field closely related Computer Vision and Machine Learning. A strong background in deep-learning is a must, as are strong programming skills. Prior experience with asynchronous visual sensors, or the Robot Operating System are not required, but are advantageous. Furthermore, the potential applicant should be able to drive their own research direction within the scope of the project, and have an interest in PhD co-supervision opportunities on aligned topics. 

Informal enquires are welcome and should be made to Dr Simon Hadfield s.hadfield@surrey.ac.uk.

Further details:

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£31,302) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£32,236).

   
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