Overview
Research Assistant in 3D Video Quality (Fixed Term)
Fixed-term: The funds for this post are available for 12 months in the first instance. The opportunity focuses on advancing the field of 3D video content evaluation and immersive experiences, developing metrics and visual models to predict quality and comfort in next-generation 3D, AR, and VR displays.
As part of the research group responsible for perceptual metrics such as HDR-VDP, FovVideoVDP, and ColorVideoVDP, you will focus on automated solutions that detect and quantify visual artifacts, depth errors, and overall 3D content quality. Your work can influence how immersive media is experienced by millions.
Responsibilities
* Design and run innovative psychophysical experiments using state-of-the-art stereoscopic and VR equipment
* Collect, scale, and analyze subjective data from users
* Develop new visual models and predictive algorithms, combining expertise in psychophysics and machine learning
* Collaborate closely with global industry partner Meta Reality Labs to ensure research has immediate, real-world impact
Qualifications
* Essential: Degree (BSc, MSc, MPhil) in computer science, electronic engineering, or a closely related discipline, with experience or interest in image and video quality
* Sound foundations in machine learning and image processing
* Experience with deep learning frameworks (e.g., PyTorch)
* Excellent programming skills
Desirable skills
* Advanced courses in computer graphics and computer vision
* Experience working with 3D content (synthesis or analysis)
Application details
Please 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 the research project you are most proud of and your contribution to it (provide a link to a GitHub repository, if available); a transcript of your university grades; and a cover letter detailing the earliest possible starting date. Include links to Google Scholar or ORCID for your publication record. If you upload additional documents not requested, they will not be considered.
This position is advertised together with another position at the Research Associate level (NR47139). If you wish to be considered for both, submit applications for both (they could be identical).
How to apply and contact
Click the "Apply" button to register an account and apply online. For further information, contact Dr Rafal Mantiuk at rafal.mantiuk@cl.cam.ac.uk or visit http://www.cl.cam.ac.uk/~rkm38/.
Please quote reference NR47142 on your application and in any correspondence about this vacancy.
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. We provide visa application support if required and reimburse the cost of the first visa.
Equal opportunity and location
Location: Cambridge, England, United Kingdom
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