A PhD studentship and a research position is available from October 2018 in the Department of Computer Science and Technology (The Computer Laboratory) at the University of Cambridge to work on rendering for future display technologies.
The researcher will join a Marie Sklodowska-Curie funded Innovative Training Network, RealVision: Hyper-REAListic VISual Experience (http://www.realvision-itn.eu/
). The network is focused on innovation in hyper-realistic imaging, encoding and display technologies. It comprises research groups across Europe specialising in Multimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision.
As the part of the training, the candidate is expected to spend in total about 4 month in collaborating institution: University of Nantes (France) under the supervision of Prof. Patrick Le Callet. The candidate is expected to register as a full-time PhD student and study for the degree. However, the position also has the benefits of becoming an employee of the University. The tuition fees are fully covered by the fellowship.
Applications will be only accepted from EU/UK candidates, but please be aware that the funding guidelines specify that candidates must not have resided or carried out their main activity in the UK for more than 12 months in the three years before recruitment. The position is open only for early career researchers who became eligible to start their PhD (finished BSc or MSc) less than 4 years ago. Some exceptions apply, so please contact us if unsure. The salary will comprise a living allowance of €44,895.96 and a mobility allowance of €7,200.00. An additional allowance of €6,000.00 may be payable but is dependent on individual family circumstances.
Project overview: This studentship is in the broad area of rendering for future display technologies, such as VR, AR, high dynamic range, lightfield, or varifocal displays. The candidate is free to choose the display technology they want to address. Rendering content for those display technologies involves a substantial computational effort, with much stricter requirements on latency and larger amount of pixels to render. The candidate may choose the preferred rendering paradigm, such as ray-tracing, rasterization, image-based, light-field or point-cloud rendering. The focus of the work should be on the optimization techniques that reduce computational cost, bandwidth or hardware requirements of rendering for future display technologies by utilizing the limitations of the visual system.
Essential requirements: Candidates should have a 1st class or equivalent degree in computer science, preferably with experience and interest in Computer Graphics, Computer Vision or Applied Visual Perception. Candidates with degrees in relevant areas (for example engineering or mathematics) will be also considered but they will need to demonstrate excellent programming skills. Candidates need to meet all prerequisites for admission to the PhD in Computer Science (please refer to: http://www.cl.cam.ac.uk/admissions/phd/
). If shortlisted, they will be advised to make a separate application for a PHD admission.
The application must include a research proposal that is aligned with the topic of the project and presents the candidate's approach to the problem. The research proposal should include a note “This proposal is a response to the Marie Curie ITN studentship NR15562, advertised by Dr. Rafal Mantiuk”. Please refer to http://www.cl.cam.ac.uk/~rkm38/jobs.html
for the details on the format of the research proposal.
Desirable skills: It is desirable that a candidate has a relevant industrial experience or Msc degree. The expertise in OpenGL and programming real-time graphics is also desirable. If a candidate has a track record of publications, it should be included in the application as a link to a Google Scholar or ORCID profile.
In the Faculty of Computer Science and Technology, all first-year research students are admitted on a probationary basis, and will be registered for the Certificate of Postgraduate Studies in Computer Science. Funding in the second and subsequent years will be conditional upon successful completion of the first and second years' progress reviews and registration for the PhD Degree.
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), a covering letter, a research proposal, transcripts (BSc and MSc if completed) and evidence of competence in English if English is not your first language. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Make sure that you have also completed the PhD application process.
Please quote reference NR15562 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.