"Research Assistant in 3D video quality (Fixed Term)"

University of Cambridge - Department of Computer Science and Technology

Location: West Cambridge

Fixed-term: The funds for this post are available for 12 months in the first instance.

We are excited to announce an exceptional opportunity to advance the field of 3D video content evaluation and immersive experiences. Be at the forefront of developing groundbreaking metrics and visual models to predict quality and comfort in next-generation 3D, AR, and VR displays.

As part of our research group - creators of leading perceptual metrics such as HDR-VDP, FovVideoVDP, and ColorVideoVDP - you'll focus on automated solutions that detect and quantify visual artifacts, depth errors, and overall 3D content quality. Your work can be instrumental in shaping how immersive media is experienced by millions.

What You'll Do:

• Design and run innovative psychophysical experiments using state-of-the-art stereoscopic and VR equipment
• Collect, scale, and analyse subjective data from users
• Develop new visual models and predictive algorithms, combining expertise in psychophysics and machine learning
• Collaborate closely with our global industry partner, Meta Reality Labs, ensuring your research has immediate, real-world impact

Why Join Us?

• Thrive in a friendly, highly collaborative, and intellectually vibrant environment
• Work with world leaders in perceptual metrics
• Enjoy flexible work arrangements and access to advanced AR/VR technologies
• Create research that has the potential to impact pioneering products and global standards

If you are passionate about creating the future of 3D content and immersive technology, we want to hear from you!

Essential requirements: Candidates should have a degree (BSc, MSc, MPhil) in computer science, electronic engineering, or a closely related discipline, with experience or interest in image and video quality, or relevant experience. The ideal candidate must have a solid foundation in machine learning and image processing. It is also essential that the candidate has sufficient experience with deep learning frameworks, such as PyTorch. Excellent programming skills are required.

Desirable skills: In addition to the essential requirements, an ideal candidate should have taken advanced courses in computer graphics and computer vision and should have experience working with 3D content (synthesis or analysis).

This position can be filled by an appropriate candidate at the Research Assistant (pre-doc) level.

Applicants should contact Dr. Rafal Mantiuk (http://www.cl.cam.ac.uk/~rkm38/, rafal.mantiuk@cl.cam.ac.uk) for further information.

To apply online for this vacancy and to view further information about the role, please click 'Apply' above.

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 (provide a link to github repository, if available); a transcript of your university grades; and a cover letter with details of your visa status and earliest possible starting date. The cover letter should indicate which position (Research Associate, Research Assistant, or both) you are applying to. The track record of publications should be included in the application as a link to Google Scholar or an ORCID profile. If you upload any additional documents that have not been requested, we will not be able to consider them as part of your application.

Questions about the post and the recruitment process may be addressed to the HR Team at hr-admin@cst.cam.ac.uk