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SalaryPart time fixed term until 31/07/2024 32 hours per week
Location: London
Salary: £38,205 to £46,974 per annum (£33,042 to £40,626 pro rata)
Introduction to York St John University (YSJ)
YSJ London Campus: Innovating the Future of Education in the Metaverse
Welcome to YSJ London Campus, a pioneering university in the vibrant city of London. Recognized as one of the fastest-growing educational institutions in the UK, we are embarking on an exciting new strategy for the next decade. Our primary focus is on expanding opportunities through cutting-edge research, with a commitment to fostering a more equitable global society and a prosperous regional community.
About the Role
We seek a highly motivated and skilled Postdoctoral Researcher to join our dynamic team dedicated to exploring immersive learning within the Metaverse. The successful candidate will be crucial in 3D modelling, augmented reality, and virtual reality projects. They will contribute to the advancement of analyzing real-world case studies of educational institutions that integrate Metaverse-based learning. The use of the EON-XR platform and other virtual technologies will be a key aspect of this research.
About the Metaverse Team
Our Metaverse team is at the forefront of inventing immersive and enjoyable camera experiences that form the core of our products. We are committed to pushing the boundaries of educational technology and creating impactful, engaging VR learning environments. Suppose you are passionate about immersive learning, possess the necessary skills, and are excited to contribute to the future of education in the Metaverse. In that case, we invite you to join our innovative journey at the YSJ London Campus.
Responsibilities
The successful candidate will work on 3D modelling for immersive and interactive 3D experiences in web-based VR/AR applications. They will also collaborate with the Metaverse team to create assets for innovative learning environments and contribute expertise in Blender or any high-performance 3D modelling tools suitable for Metaverse applications. Familiarity with standalone VR headsets (e.g., Vive, Quest 2/3, Pico 4) is highly preferred as well as familiarity with object recognition and tracking and feature detection are techniques used in computer vision to identify and track objects, determine their positions, and extract relevant visual features for metaverse applications.
The post holder will create innovative research in the Augmented and Virtual world as well as develop and implement novel algorithms and models in the Metaverse. The successful candidate will implement work into the EON-XR platform and have solid experience with software design, implementation, testing, and reporting. The post holder will have the opportunity to collaborate with interdisciplinary teams on research projects.
Required Experience
- Ph.D. in Computer Science, Robotics, related field, or equivalent experience.
- Two years of hands-on experience implementing machine learning algorithms for augmented or mixed reality applications.
- Strong background in technology-integrated education and project design.
- Proven track record of research excellence, as demonstrated by publications.
Skills and Expertise
The successful candidate will have skills and experience surrounding creating real-world case studies of educational institutions integrating Metaverse-based learning using the EON-XR platform. They will also be experienced in designing Machine Learning algorithms in the Metaverse world and possess augmented reality development capability suitable for the fast turnaround in the social landscape using any advanced technologies. The successful candidate will also have:
- Experience working with C#, C++, and Unity.
- Familiarity with graphics-based techs such as Blender, OpenGL, 3D Maths, and other 3D technologies.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Interest in exploring how other technologies, such as deep learning algorithms, can enhance the development of AR and Metaverse experiences.
Additional information
For informal enquiries, please get in touch with Dr Gayathri Karthick via e-mail at g.karthick@yorksj.ac.uk .
Unfortunately, this role is not eligible for Skilled Worker Visa sponsorship; however, we welcome your application if you are able to provide evidence of the right to work in the UK via an alternative route.
If you require a reasonable adjustment in order to apply for this position please contact vacancies@yorksj.ac.uk. Within the application form there is an opportunity for you to request a reasonable adjustment at the interview stage of the process, however if you wish to discuss this in further detail at any point in the process please do not hesitate to contact us.
We offer a range of family friendly and inclusive policies and facilities to support staff from different backgrounds. As part of our commitment to providing an inclusive working environment, consideration is given to all requests for job share or flexible working arrangements.
Please note that CVs are not accepted in place of the application form.
Our benefits package
We offer a wide range of employee benefits including -
- Excellent annual leave entitlement, including five discretionary university closure days over the Christmas period
- Disability leave (applies to staff who have disclosed a disability and is also available to staff with disabled dependants)
- Pension scheme
- Health Cash Plan after six months service
- Employee Assistance Programme
- Relocation expenses package for certain roles
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Further information about life at YSJ
Read more about our culture, inclusive community, working arrangements and benefits for York St John employees
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Closing Date - Wednesday 24 January 2024 at midnight
Provisional Interview Date - Thursday 08 February 2024
