The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world-wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University.

We invite applications for a Research Associate position on a project focused on the quality of HDR gaming content. The project aims to develop a novel video quality metric and analysis framework that explains perceptual differences between HDR and SDR versions of the same content, particularly when viewed on HDR displays. This work will involve building a large-scale, publicly available dataset of high-dynamic-range gaming content and designing perceptually grounded evaluation protocols. The successful candidate will contribute to cutting-edge research building on ColorVideoVDP and its ML extensions, with outputs including open-source software (MIT license) and high-impact publications. The role also includes collaboration with Sony Interactive Entertainment, including a potential internship in their London office to support subjective studies and model calibration on internal datasets.

This position offers an opportunity to work at the intersection of perceptual modelling, graphics, and machine learning, contributing to both academic research and real-world applications in gaming and streaming technologies.

Essential requirements: Candidates should hold, or be close to obtaining, a PhD in computer science, electronic engineering, or a closely related discipline, with demonstrated experience and interest in image and video quality assessment, or equivalent research or industry experience. A strong foundation in machine learning and image processing is essential, along with hands-on experience using deep learning frameworks such as PyTorch and excellent programming skills.

Desirable skills: The ideal candidate will also have advanced training in computer graphics, colour science, high dynamic range imaging, image processing, and video compression.