Research Assistant £25,728 - £30,688 or Research Associate £31,604 - £38,833
Fixed-term: The funds for this post are available for 3 years in the first instance.
A position is available to work on "Limits of perceptual realism" with the starting date between October 2018 and February 2019. The project aims to capture and reproduce 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 capturing scenes as high dynamic range light fields and then rendering them on a novel display delivering multiple depth cues. The capture should ideally be aligned with the limitations of the visual system. The outcome of the project will help to define the requirements for future capture and display technologies, rendering, representation and storage of visual content. The successful candidate is expected to work with camera arrays, be responsible for their calibration, control and processing algorithms for them.
Essential requirements: Candidates should have a degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in Computer Vision, Computer Graphics or Image Processing. In particular they should have experience working with reconstruction problems.
Desirable skills: It is desirable that a candidate has expertise in capture and processing of light fields and has knowledge of relevant machine learning methods.
This position can be filled by an appropriate candidate at research assistant or research associate level, depending on relevant qualifications and experience. Appointment at research associate level is dependent of having a PhD (or equivalent experience). Where a PhD has yet to be awarded appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded.
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; a statement of the particular contribution you would like to make to the project (maximum 500 words); a description (max 1 page of A4) of the research project you are most proud of and your contribution to it; a transcript of your university grades; and a cover letter with details of your visa status and earliest possible starting date. The track record of publications should be included in the application 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 NR16356 on your application and in any correspondence about this vacancy.
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