PhD Studentship Research Assistant in Machine Learning for Computer Graphics University of Cambridge Department of Computer Science and Technology, West Cambridge United Kingdom


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


A position is available to work on machine learning methods for computer graphics with the starting date in October 2019. 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. The successful candidate is expected to work on highly realistic rendering of 3D scenes using machine learning and image-based rendering methods. Such rendered scenes will be shown on custom-built displays that combine high dynamic range with binocular stereo and focal depth cues.


Essential requirements: Candidates should have a 1st class degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in machine learning and computer graphics. Excellent programming skills are required.


A candidate meeting the required PhD admission criteria will be invited to apply to the PhD programme in Computer Science.


Shortlisted candidates will be asked to write a research proposal that is aligned with the topic of the project and presents the her/his own approach to the problem. Please refer to and the details on the format of the research proposal.


Desirable skills: It is desirable that a candidate has experience in computer graphics and/or computer vision. 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.


This position is funded through the European Research Council (ERC) Consolidator Grant. If the candidate registers as a full-time PhD student at the University and study for the degree, the candidate will be eligible to pay staff rate tuition fees for the PhD, which for 2019-20 will be £2,619 per annum for three years. The position is open to both UK/EU and non-EU applicants.


Applicants should contact Dr Rafal Mantiuk ( for further information.


To apply online for this vacancy and to view further information about the role, please visit :


Please ensure you upload your Curriculum Vitae (CV), a covering letter, an optional research proposal, transcripts (BSc and MSc if completed) and the 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.


Please quote reference NR19226 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.

If you apply for this position please say you saw it on Engineeroxy


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