PhD Studentship in Machine Learning for Computational Photography 2019, University of Cambridge, UK

University of Cambridge


June 30, 2019

Opportunity Cover Image - PhD Studentship in Machine Learning for Computational Photography 2019, University of Cambridge, UK

PhD Studentship in Machine Learning for Computational Photography (Fixed Term)

Fixed-term: The funds for this post are available for 3 years.

A funded PhD studentship is available at the Department of Computer Science and Technology (The Computer Laboratory), in the Rainbow group, beginning in either October 2019 or January 2020. This doctoral studentship is for both UK/EU and overseas applicants interested in working on a PhD thesis in the area of machine learning for computational photography.

The studentship will involve work on improving the visual quality of video captured with digital sensors. Such video may be affected by noise, extreme illumination conditions (high dynamic range) and sensor limitations. The aim is to develop algorithms that combine both machine learning and computational photography methods to recover video of higher visual quality than input. This could involve, for example, upscaling the content from standard- to high-dynamic range or reducing the visibility of noise in dark areas, while ensuring that the reconstructed video is temporarily stable.

This opening is suitable for a candidate with a Bachelor (UK first-class honours or equivalent) or Masters degree in Computer Science, Electrical Engineering, Physics or Mathematics. Applicants must have very good programming skills and have suitable background in computer vision, computational photography, machine learning and/or computer graphics.

The candidates can make an informal enquiry to Dr Rafal Mantiuk  prior to submitting a formal application. Such enquiries should be made before 10th of May and should include a CV and a one-paragraph abstract of the research proposal.

The PhD application must include a research proposal that is aligned with the topic of the studentship.

Applications should be submitted as soon as possible, and no later than 30 June 2019 (to start in October 2019). The candidates who need to meet English language requirements should ensure that they have their IELTS/TOEFL results by the submission deadline.

The PhD studentship will cover all approved University tuition fees and provide a tax-free maintenance allowance of £15,009 year for 3 years. It also includes a budget for travel and research equipment.

For more information click "LINK TO ORIGINAL" below

This opportunity has expired. It was originally published here:

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Publish Date
May 27, 2019