Fixed-term: The funds for this post are available for 24 months.
A position is available to work on colour vision models for evaluating and optimizing the quality of AR/VR graphics. The project aims to develop a family of image/video difference metrics that predict the perceived degradation of image quality while considering physical (AR/VR) display characteristics.
This particular role focuses on modelling the mechanisms of human vision that affect perceived image quality. These may include models of spatio-chromatic and temporal contrast sensitivity, contrast masking, temporal vision and adaptation. Such models are meant to be used in visual metrics for predicting image quality.
Essential Requirements
Candidates should have a degree in computer science, electronic engineering or a closely related discipline, with experience and interest in computational models of human vision, psychophysics and colour. It is essential that the candidate is proficient in colourimetry and experimental protocols used in vision science.
Desirable Skills
An ideal candidate should have a track record of work on visual modelling and also psychophysical measurements.
This position can be filled by an appropriate candidate at a research assistant or research associate level, depending on relevant qualifications and experience. Appointment at a research associate level is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded, an 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.
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.
