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Marie Curie ITN Early Stage Researcher in Computer Graphics and Computational Displays (Post 2) (Fixed Term)


Fixed-term: The funds for this post are available for 3 years.

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 hyper-realistic displays.

The successful candidate 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.

The candidate is expected to work with prototypes of novel displays, be responsible for their calibration and creating rendering and processing algorithms for them. This position is funded through the European Commission, Innovative Training Networks (ITN) programme.

As the part of the training, the candidate is expected to spend in total about 6 month in collaborating institutions: Stanford University under the supervision of prof. Gordon Wetzstein and Fraunhofer Institute for Integrated Circuits (IIS). 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 successful candidate will be eligible to pay staff rate tuition fees for the PhD.

Applications will be accepted from candidates of any nationality, 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 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: 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.

Essential requirements: Candidates should have a 1st class or equivalent degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in Computer Graphics and/or Computer Vision. Very good programming skills are required.

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/). They are advised to make a separate application for a PHD admission at their earliest convenience, preferably before the deadline of the application for this position. The PhD 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 NR14038, advertised by Dr. Rafal Mantiuk".

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.

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.

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 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.

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 NR14038 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.

Apply online