Fixed-term: The funds for this post are available for 3 years.
A Research Associate position is available from October 2017 to work on capture and display of highly realistic imagery. The project aims to create, capture and display 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 with prototypes of novel displays, including VR headsets, novel acquisition methods (camera arrays, light field cameras), reconstruction methods, and the application of perceptual models in reconstruction and display problems.
Essential requirements: PhD awarded or near completion in Computer Science or Engineering in the field of computer vision, computer graphics or image processing. Good track record of publications in high esteem journals and conferences, such as SIGGRAPH, Eurographics, CVPR, ICCV, ECCV. Excellent programming and mathematical skills. Good communication skills in both written and spoken English.
Desirable skills: Expertise in computational photography, computational displays, image based rendering, machine learning for computer vision & graphics, and/or human visual perception.
This position is funded through the European Research Council (ERC) Consolidator Grant.
Applicants should contact Dr Rafal Mantiuk (http://www.cl.cam.ac.uk/~rkm38/) for further information.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure you upload your Curriculum Vitae (CV) and a covering letter. Your track record of publications should be included as a link to Google Scholar or ORCID profile. 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 NR12721 on your application and in any correspondence about this vacancy.
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