Back to search results

PhD Studentship: Research Assistant in Computational Photography for Realistic Rendering (Fixed Term)

University of Cambridge - Department of Computer Science and Technology

Qualification Type: PhD
Location: Cambridge
Funding for: UK Students, EU Students, International Students
Funding amount: £26,243 to £30,395 per annum
Hours: Full Time
Placed On: 23rd May 2019
Closes: 23rd June 2019
Reference: NR19255
 

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

A position is available in the Display and Graphics team at the Department of Computer Science and Technology of the University of Cambridge to work on computational photography methods for realistic image and video capture. The starting date for the post is in October 2019. The project aims to create images that would appear highly realistic to the human eye, to the point that they are confused with real-world objects. This will be achieved by combining high dynamic range, binocular stereo and multiple focal depths in a single display setup. The goal is to determine what factors are the most relevant for achieving highly realistic look of the displayed scenes. The outcome of the project will help to define requirements for future display technologies, rendering, representation and storage of visual content. The successful candidate is expected to work on multi-camera systems, which capture the scene using a combination of modalities: light field, depth, reflectance properties and motion. Such data will be used to render highly realistic images on novel display devices, which realistically convey depth cues and high dynamic range colour.

Essential requirements: Candidates should have a 1st class degree (or equivalent) in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in computer vision. Excellent programming skills are required.

A candidate meeting the required PhD admission criteria will be invited to apply to the PhD programme in Computer Science.

The candidates are recommended to include in the application a short a research proposal that is aligned with the topic of the project and presents the her/his own approach to the problem. Please refer to http://www.cl.cam.ac.uk/~rkm38/jobs.html  and http://www.cl.cam.ac.uk/admissions/phd/ for the details on the format of the research proposal.

Desirable skills: It is desirable that a candidate has experience in computational photography and 3D reconstruction methods. If a candidate has a track record of publications, it should be included in the application as a link to Google Scholar or ORCID profile.

This position is funded through the European Research Council (ERC) Consolidator Grant. If the candidate registers as a full-time PhD student at the University and study for the degree, the candidate will be eligible to pay staff rate tuition fees for the PhD, which for 2019-20 will be £2,619 per annum for three years. The position is open to both UK/EU and non-EU applicants.

Applicants should contact Dr Rafal Mantiuk (http://www.cl.cam.ac.uk/~rkm38/) for further information.

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/21669.

Please ensure you upload your Curriculum Vitae (CV), a covering letter, an optional research proposal, transcripts (BSc and MSc if completed) and the evidence of competence in English if English is not your first language. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR19255 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 
 
 
 
More PhDs from University of Cambridge

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge