Research Associate in Visual Computing (fixed-term)
Location
Bath, Somerset | United Kingdom
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University of Bath
Research Associate in Visual Computing (fixed-term)
Job title Research Associate in Visual Computing (fixed-term)
Department Computer Science
Salary Starting from £37,099, rising to £44,263
Grade Grade 7
Contract Type Full Time
Placed on Thursday 01 February 2024
Closing date Thursday 14 March 2024
Interview date To be confirmed
Reference ED11166R
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MyWorld Project
As part of the £35m MyWorld programme, we are searching for three motivated individuals to create the next generation of content capture and creation tools for the creative industries across film, TV, games and immersive Virtual and Augmented/Mixed Reality.
This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world-leading quality obtained via our unique CAMERA Studio facilities.
There are two positions available, and each is a fixed-term role with funding for 2.5 years.
Project Focus
We have three positions available and they are targeted across a range of activities but there is great scope for input in specific projects from candidates and the project is intended as a collaborative undertaking alongside the other half of our MyWorld team at the University of Bristol.
Topics of focus include:
Automatic capture and rigging of high-quality avatars/digital doubles including biomechanically accurate dynamics Efficient capture of cinematic quality 4D volumetric data including ML/AI tools to allow artistic control and editing Next generation of virtual production including lightfield synthesis to recreate truly real-world lighting on set The following section details the brand-new equipment available that you will be given priority access to. This work will be interdisciplinary and collaborative and will span research across computer vision, computer graphics and machine learning.
Candidates can come from any background but should be motivated to expand and learn techniques and theory from across the disciplines; all areas will build on firm foundations in maths and programming.
CAMERA is an established research centre with a track record in the fields of motion capture, analysis and work with the creative industries.
We have a strong track record of supporting the career development of our researcher including four former research associates now with faculty positions.
Our intention is to help support and develop the future leaders of the field and there will be many opportunities to showcase and champion the new research and technology developed on a global stage.
We also hope that you will help advise the CAMERA project and PhD candidates working on aligned topics.
The CAMERA Studio
As part of our recent expansion we are very excited about the opening of the new CAMERA studio which uniquely comprises four state-of-the-art capture stages as illustrated above:
Motion Capture Stage: Our marker based motion-capture facility is centred on 36 26MP Vicon Valkyrie cameras that can be used to capture highly detailed movement (e.g. individual fingers) as well as group interactions (many participants) in the large capture volume. We are interested in capturing truly realistic motion: this could be for training or validating markerless capture systems or biomechanical analysis. We have force-plates to capture ground-reaction forces and suspension harnesses to simulate constrained motion (e.g. movement under Lunar or Martian gravity). Face/Body Light Stage and Photogrammetry Rig: The face capture system comprises a light-stage from Esper with 25MP cameras and high-speed lighting control. The photogrammetry rig allows us to perform body reconstructions, e.g. for creating avatars. Combined, they allow us to capture cinematic quality datasets, e.g. to investigate training data for automatic avatar creation and rig construction suitable for high-end visual effects. 4D Volumetric Capture Stage: This new room scale stage allows for free-form 4D capture or lightfield capture using 48 24MP Emergent machine vision cameras. This will allow capture of high-quality, dynamic datasets and we are interested in using new view synthesis to provide virtual camera paths as well as new methods for artistic control and editing of volumetric data (e.g. allowing NERFs or similar to be used in immersive AR/VR productions or in visual effects). Virtual Production Stage: This brand new 12m by 3m LED wall will allow us to develop the next generation of capture and editing tools for media production. After initial success with projects such as ILM’s work on the Mandalorian, there is an increasing demand for virtual production. Access to a state-of-the-art background wall plus movable front lighting walls and ceiling panels will let us work on the next generation of production and visual effects pipelines. We are particularly interested in generation of the highest quality capture, e.g. recreation of lightfields for lighting accuracy, and to provide the most intuitive creative control for the director, actors and crew. You will work alongside the six members of our excellent studio team who have long-standing experience across both technical and creative/artistic aspects of the studio. Collaboratively, they will assist with capturing exciting and challenging new datasets or showcasing our research with internationally leading studios and award-winning creative teams (e.g. DNEG and Aardman Animations). CAMERA and MyWorld Partners
There are many collaboration opportunities with our external partners across the CAMERA centre and the wider MyWorld programme. Examples include the Foundry, a world-leading provider of tools to the Visual Effects (VFX) and Post-Production industry and DNEG the internationally acclaimed Post-Production house with numerous accolades including Academy Awards for Dune, Tenet, First Man, Blade Runner 2049, Ex Machina, Interstellar and Inception. Wider Research Group
In addition to working with the CAMERA centre in Bath, the MyWorld research project will include regular collaboration with researchers at the Universities of Bristol, Bath Spa and the West of England (UWE) including technical and creative collaborations. You will also join the vibrant Visual Computing and Machine Learning and AI groups at Bath. The VC group comprises around 30 doctoral students, 10 post-doctoral researchers and 8 academics and presents many opportunities for collaborative work and shared publications. In addition to the standard duties of performing research and the dissemination of research through publications and demonstrations (e.g. SIGGRAPH, FMX and CVPR), you will also be expected to be involved in the supervision of project and PhD candidates as well as undertaking some teaching duties at undergraduate or graduate level. We are working to improve the gender balance within the department’s population and particularly welcome applications from women. What we can offer you: a very generous employer contributory pension scheme generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance we are a family-friendly University and with an increasingly agile workforce, are open to flexible working arrangements an excellent reward package that recognises the talents of our diverse workforce a wide range of personal and professional development opportunities a number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance , Visa Reimbursement , Interest-Free Loan We aim to be an inclusive university, where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award . We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams. We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information. Email details to a friend Further details:
Job & Person Specification Terms and Conditions of Employment We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details will be removed from application forms at the initial shortlisting stage.
In your application, please refer to myScience.org and reference JobID 2828725 .
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