PhD Studentship: MyWorld/BBC iCASE: Low Light Fusion and Autofocus for Advanced Wildlife Coverage at University of Bristol

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PhD Studentship: MyWorld/BBC iCASE: Low Light Fusion and Autofocus for Advanced Wildlife Coverage
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- Location Electrical and Electronic Engineering
Qualification Type:
PhD
Location:
Bristol
Funding for:
EU Students, International Students, Self-funded Students, UK Students
Funding amount:
From £15,609 with possible top up of £3000 p.a. subject to eligibility status and confirmation of award
Hours:
Full Time
Placed On:
24th March 2022
Closes:
1st April 2022
The project:
Natural History filmmaking presents many challenges. For example, filming in low light or using modalities such as infra-red can result in noisy, or can suffer from poor contrast range and colours. This project will enable production workflow to push the boundaries of new image acquisition and processing methods for telling stories of the natural world. The project will look at image-based approaches to understanding and explaining the natural world, by combining multiple imaging modalities. It will investigate means of autofocus for low light content. Machine learning methods to estimate focus from blur after training will also be explored.
This project is funded by the EPSRC iCASE (sponsored by BBC) and aligns with the MyWorld UKRI Strength in Places Programme. The student will be based at the **MEMBERS ONLY**SIGN UP NOW***., and will spend time working with the BBC, getting first-hand understanding of the challenges faced and the constraints of filming in the wild. They will work alongside BBC staff in the Natural History Unit and in BBC R&D and will be a part of the My World creative hub.
Launched in April 2021, MyWorld is a five-year programme, the flagship for the UK’s creative technology sector, and is part of a UK-wide exploration into devolved research and development funding (UKRI video). Led by the **MEMBERS ONLY**SIGN UP NOW***., this £46m programme will forge dynamic collaborations to progress technological innovation, deliver creative excellence, establish, and operate state of the art facilities, offer skills training, and drive inward investment, raising the region’s profile on the global stage.
URL for further information: ********How to apply:
All candidates should submit a full CV and covering letter to ****
(FAO: 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 4th April 2022, with interviews to follow.
The initial closing date for applications is Friday 1st 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: Image Processing; Artificial intelligence/Machine learning/Deep learning; Computational Imaging / Computational Photography
Contacts: 
For questions about eligibility and the application process please contact ****
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