Research Assistant £25,728 - £30,688 or Research Associate £31,604 - £38,833
Fixed-term: The funds for this post are available for up to 3 years
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 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 with prototypes of novel displays, be responsible for their calibration and creating rendering 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 Graphics, Computer Vision, Image Processing or Human Vision. In particular they should have experience working with inverse problems and optimization methods. Such inverse problems arise when driving displays with multiple spatial light modulators. Very good programming skills are required.
Desirable skills: It is desirable that a candidate has expertise in programming real-time graphics.
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 NR16355 on your application and in any correspondence about this vacancy.
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