Research Assistant/Associate in Interactive Machine Vision

University of Cambridge - Computer Laboratory

Research Assistant £25,023 - £28,982 or Research Associate £28,982 - £37,768.

Fixed-term: The funds for this post are available for 2 years in the first instance.

The University of Cambridge Computer Laboratory wishes to appoint a post-doctoral researcher (or equivalent) to join a research team creating intelligent user interfaces for interactive exploration and navigation of video content, based on recent advances in machine learning and machine vision. The project is funded by Boeing Corporation, and will involve close collaboration with Boeing researchers in the field of video analytics. The ambition of the project is to make fundamental advances in intelligent user interfaces, drawing from application case studies in a variety of Boeing business areas.

The post will include opportunities for supervision of graduate and undergraduate students contributing to these broader research and application agendas.

This position can be filled by an appropriate candidate at research assistant or research associate level, depending on relevant qualifications and experience. Candidates suitable for appointment at research associate level should hold a PhD in computer science, software engineering or a related subject. Candidates with an excellent Masters degree will also be considered, if they can demonstrate relevant research 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.

The successful candidate should be familiar with a broad range of machine learning and machine vision techniques, and will preferably have experience of user modelling and/or experimental assessment of user interfaces. The post will require software implementation skills relevant to high speed video processing, either using GPUs or parallel processing techniques. An interest in design of interactive real-time media processing languages will also be an advantage, as this project is linked to an on going programme of arts research, using advanced computing techniques to build creative tools for live performance and improvisation.

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 (CV), and a covering letter. 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 NR10401 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.

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South East England