Research Assistant/Associate in Rendering for 3D HDR Displays (Fixed Term)

Department/Location: Department of Computer Science and Technology, West Cambridge  

Fixed-term: The funds for this post are available for 11 months.

A position is available to work on rendering for ultra-realistic 3D HDR displays with a starting date between March and June 2023. The project's aim is to develop new rendering techniques for future display technologies capable of reproducing realistic depth cues, accurate colour and high dynamic range. The successful candidate will work with traditional computer graphics, neural and image-based rendering methods to generate highly realistic content for our ultra-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.

Essential Requirements 

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. 

Desirable 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 (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/38790.

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 NR34764 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.

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