We are looking for a highly motivated Research Associate to work on a BBSRC-funded project, a research collaboration between the University of York and Bournemouth University. The project is aimed at gaining a better understanding of colour perception by means of machine learning techniques, applied on a large dataset of computer-simulated natural spectral images.
The primary focus of this role will be generating photorealistic datasets of spectral renderings and use this to evaluate existing colour constancy algorithms, thus obtaining a baseline. Deep Learning will then be used to investigate the representation of naturalistic spectral images. The successful candidate will also drive the perceptual evaluation. The selected candidate will be hired at the University of York, and will spend some time at Bournemouth University, fully covered by project funding.
The ideal candidate for this post will have a solid background in computer science, with experience of both deep learning and computer graphics, with a particular focus on rendering. The planned tasks do not only require technical competence, but also problem solving and research skills, therefore a candidate with research experience is necessary, rather than a technician or a Research Assistant.
(Role holders will be required to undertake some or all of the duties below)
Please note that this is a fixed term role for 18 months
For informal enquiries: please contact Dr. Giuseppe Claudio Guarnera at email@example.com
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