Fixed-term: The funds for this post are available for 3 years.
A PhD studentship and a research position is available with a starting date between October 2018 and January 2019 in the Department of Computer Science and Technology (The Computer Laboratory) at the University of Cambridge in the areas of Computer Graphics and Computational Displays.
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.
A candidate meeting the required PhD admission criteria will be invited to apply to the PhD programme in Computer Science. The tuition fees are fully covered by the fellowship.
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. The position is open to both UK/EU and non-EU applicants.
Project overview: This studentship is in the broad area of Computer Graphics and Computational Displays. The focus will be on rendering for future display technologies, such as next generation VR headsets, HDR and 3D displays. 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 should come up with novel rendering algorithms, which make the best use of the available resources and the limitations of human 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 prerequisites for admission to the PhD in Computer Science (please refer to: http://www.cl.cam.ac.uk/admissions/phd/).
Shortlisted candidates will be asked to write a research proposal that is aligned with the topic of the project and presents her/his own approach to the problem. Please refer to http://www.cl.cam.ac.uk/~rkm38/jobs.html and http://www.cl.cam.ac.uk/admissions/phd/ 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.
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.
Applicants should contact Dr Rafal Mantiuk (http://www.cl.cam.ac.uk/~rkm38/) for further information.
Note that a similar position is available at all research levels (pre-, post-doc, and PhD candidate) and without the residency restrictions but without the benefits of the training network. Please refer to post NR16360 for the details.
Please ensure you upload your Curriculum Vitae (CV), a covering letter, an optional 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 NR16358 on your application and in any correspondence about this vacancy.
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