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Research Assistant/Associate in Colour and Human Vision (Fixed-Term)

University of Cambridge - Department of Computer Science and Technology

Location: Cambridge
Salary: £26,243 to £39,609
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 30th October 2018
Closes: 9th December 2018
Job Ref: NR17198

Research Assistant £26.243 - £30,395 or Research Associate: £32,236 - £39,609.

Fixed-term: The funds for this post are available for up to 18 months.

We are looking for a highly motivated postdoctoral research associate with an interest in colour and human visual perception. The project will combine methods from psychophysics and vision science with modern machine learning to develop new models of human vision, which will enable intelligent display algorithms, adaptable to visual perception.

The successful candidate will be responsible for experiment design, data analysis, modelling, and work with prototype high dynamic range displays. She/he will spend a month-long secondment in the Psychological Science department of the University of Liverpool to facilitate cross-disciplinary training and joint work on the project.

Further Information:

Essential Skills: Candidates should have a degree in computer science, electronic engineering, psychology (colour vision), or a closely related discipline, with experience and interest in colour and human vision. The position requires very good programming skills.

Desirable Skills: It is desirable that a candidate has expertise in one or more of the following areas: machine learning, Bayesian inference, statistical methods for psychophysics, high dynamic range imaging.

This position can be filled by an appropriate candidate at research assistant or research associate level, depending on relevant qualifications and experience. Appointment at research associate level is dependent of having a PhD (or equivalent experience). Where a PhD has yet to be awarded appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded.

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: This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

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; 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 NR17198 on your application and in any correspondence about this vacancy.

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