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- Tasks: Join a dynamic team to innovate in film, TV, and immersive tech using cutting-edge Machine Learning.
- Company: Be part of the University of Bath's vibrant research community with global collaborations.
- Benefits: Enjoy competitive salary, generous leave, professional development, and wellness support.
- Why this job: Make a real impact in creative industries while working on groundbreaking projects.
- Qualifications: Passion for research in computer science and experience in collaborative environments.
- Other info: Diverse workplace committed to gender equality and supporting underrepresented groups.
The predicted salary is between 31000 - 37000 £ per year.
Department: Computer Science
Salary: Starting from £37,099, rising to £44,263
Contract Type: Full Time, Fixed Term
Closing Date: Sunday 22 February 2026
Interview Date: Monday 02 March 2026
Reference: SS13369
MyWorld Project
As part of the £35m MyWorld programme, we are searching for two motivated individuals to create the next generation of content, bringing together and creating 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.
Project Focus
We have one position available, ending 31/03/2027, 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:
- Beyond SMPL: Building Anatomically Accurate Digital Human Models
- Next generation virtual production with light-fields
- Creating data-driven 3D human representations that combine the fidelity of implicit models with explicit controls preferred by animators
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.
About You
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 projects and PhD students, as well as undertaking some teaching duties at undergraduate or graduate level.
Further Information
We are working to improve the gender balance within the department's population, and particularly welcome applications from women.
For an informal discussion relating to this vacancy, please contact Rebekah Hole.
We consider ourselves to be a 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 and encourage applications from all genders, backgrounds, and communities, particularly from underrepresented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
What we can offer you
We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer:
- Free counselling services through Health Assured
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff discounts on postgraduate tuition fees
- Staff discount on language courses
- Generous employer contributory pension schemes
- Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance
- A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning, and more
- Free entry to the Holburne Museum in Bath
- Local discounts and more
- A family-friendly workplace
- An excellent reward package that recognises the talents of our diverse workforce
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
Find out more about our benefits and watch the video on our website to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn.
Research Associate in Taunton employer: University of Bath
Contact Detail:
University of Bath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Taunton
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from the University of Bath who are in similar roles. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for your interview by diving deep into the MyWorld project. Understand its goals and how your skills in Machine Learning and creative industries can contribute. Show them you’re not just another candidate, but someone who’s genuinely excited about their work!
✨Tip Number 3
Practice makes perfect! Get a friend to do mock interviews with you. Focus on articulating your experience with data-driven projects and collaboration, as these are key for the Research Associate role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at the University of Bath!
We think you need these skills to ace Research Associate in Taunton
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Associate role. Highlight your relevant experience in machine learning and any collaborative projects you've worked on, as this will show us you're a great fit for the MyWorld project.
Show Your Passion: Let your enthusiasm for the creative industries shine through! Whether it's film, TV, or immersive tech, we want to see how your interests align with our goals. Share any personal projects or experiences that demonstrate your commitment.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don't forget to submit your application via our official website! This ensures that we receive all your details correctly and helps us process your application smoothly. Plus, you'll find more info about the role there!
How to prepare for a job interview at University of Bath
✨Know Your Stuff
Make sure you’re well-versed in the latest advancements in Machine Learning and generative AI. Brush up on relevant projects, especially those related to digital human models and virtual production. This will show your passion and understanding of the field.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams and external partners, be ready to discuss your experience in collaborative projects. Share examples of how you’ve successfully worked with others, particularly in research or creative settings.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review key concepts in Visual Computing and Machine Learning, and be prepared to explain your thought process when tackling complex problems. Practising with mock interviews can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the MyWorld programme’s future projects or how the team collaborates with external partners. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
