Research Assistant/Associate in Hyper-Realistic Rendering
University of Cambridge
A position is available to work on rendering for hyper-realistic displays with a starting date between January and April 2023. The project aims to create images that would appear highly realistic to the human eye and convey an almost complete set of depth cues. This will be achieved by combining high dynamic range, binocular stereo and multiple focal depths in a single display setup. The successful candidate will work with traditional computer graphics, neural and image-based rendering methods to generate highly realistic content for our hyper-realistic display (https: // www. cl.cam.ac.uk/research/rainbow/projects/hdrmfs/). The goal is to create a pipeline that lets us capture a 3D scene with high colour and geometric accuracy, represent it efficiently and then render it in real time on our display. We are particularly interested in the reproduction of skin tones and specular materials.
Candidates should have a degree in computer science or a closely related discipline, with experience and interest in computer graphics. The candidates must have experience in real-time rendering using OpenGL. The position requires excellent programming skills.
It is desirable that a candidate has knowledge in one or more of the areas: image-based rendering, neural rendering (e.g. NeRF), differential rendering, 3D scanning and reconstruction and colour. The evidence of such experience should be ideally supported by publications.
This position can be filled by an appropriate candidate at a research assistant or research associate level, depending on relevant qualifications and experience. Appointment at a research associate level (postdoc) is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded, an appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded. We also invite candidates without a PhD degree but with relevant experience in real-time graphics.
Applicants should contact Dr Rafal Mantiuk (https:// www. cl.cam.ac.uk/~rkm38/) for further information.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
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 (provide a link to github repository, if available); 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 NR34106 on your application and in any correspondence about this vacancy.