PhD Studentship: My World/Netflix: Deep Video Cod

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PhD Studentship: My World/Netflix: Deep Video Coding for AOM/AV2
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- Electrical and Electronic Engineering
Qualification Type:
PhD
Location:
Bristol
Funding for:
UK Students, EU Students
Funding amount:
£15,609
Hours:
Full Time
Placed On:
3rd March 2022
Closes:
1st April 2022
Funding amount: 
Minimum £15,609 subject to eligibility status and confirmation of award
The project:
Video technology is now pervasive, with mobile video, UHDTV, video conferencing, and surveillance all underpinned by efficient signal representations. As one of the most important research topics in video processing, compression is crucial in encoding high quality videos for transmission over band-limited channels.
The last three decades have seen impressive performance improvement in standardised video algorithms. The latest standard, VVC and the new royalty free codec, AOM/AV1, are expected to achieve 30-50% gains in coding performance over HEVC. However, this figure is far from satisfactory considering the large amount video data consumed every day.
Inspired by the recent breakthrough in artificial intelligence, in particular deep learning techniques developed for video processing applications, this PhD project will investigate novel deep learning-based video coding tools, network architectures and perceptual loss functions specifically for the new emerging open-source codec, AOM/AV2.
This project is jointly funded by Netflix (US) and MyWorld UKRI Strength in Places Programme, as part of the strategic research collaboration project between the **MEMBERS ONLY**SIGN UP NOW***. and Netflix (US). The student will have the opportunity to work with experts from Netflix, contributing to the development of AOM/AV2.
URL for further information: ********How to apply:
All candidates should submit a full CV and covering letter to Professor David R. Bull ( ****
) by the deadline.
Formal applications for PhD are not essential at this stage, but can be submitted via the **MEMBERS ONLY**SIGN UP NOW***. homepage (clearly marked as MyWorld funded):  ****A Selection Panel will be established to review all applications and to conduct interviews of short-listed candidates.
Candidates will be invited to give a presentation prior to their formal interview, as part of the final selection process. It is expected that the shortlisting selection process will be held in week commencing 4
th
April 2022, with interviews to follow.
The initial closing date for applications is Friday 1
st
April 2022. The positions will however remain available until all scholarships are awarded.
Candidate requirements: 
Applicants must hold/achieve a minimum of a Master’s degree (or international equivalent) in a relevant discipline. Applicants without a Master’s qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.
If English is not your first language, you need to meet this profile level:
Profile E
Further information about  English language requirements and profile levels
Basic skills and knowledge required include excellent analytical skills and experimental acumen. And a background understanding in one or more of the following: Video Compression; Artificial intelligence/Machine learning/Deep learning
Contacts:  
For questions about  eligibility and the application
 process please contact ****
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