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- Tasks: Conduct innovative research in 4D video understanding and collaborate with top researchers.
- Company: Join the University of Bristol, a leading institution known for its vibrant research community.
- Benefits: Enjoy a full-time role with opportunities for professional growth and collaboration.
- Why this job: Be at the forefront of video technology, contributing to impactful research and publications.
- Qualifications: PhD in Video Understanding or related field; strong programming and deep learning skills required.
- Other info: Inclusive environment aiming to attract diverse talent; fixed-term contract until May 2028.
The predicted salary is between 36000 - 60000 £ per year.
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The role
A strong and vibrant research team with steady-stream publications in high-calibre venues is looking for a postdoctoral researcher (30-months fixed-term) to develop novel approaches to dynamic 3D (i.e. 4D) video understanding. Topics related to 4D tracking, hand and body pose estimation and long-term tracking of objects in world coordinates will be explored. The project will focus on rethinking video understanding in the new era of 4D understanding. Check Dima’s research interests and projects at: http://dimadamen.github.io/
What will you be doing?
- Conducting novel research in 4D video understanding – contributing novel research on designing, training (with minimal data or self-supervision) and evaluating video understanding models. This will include hands-on research using the latest deep learning approaches.
- Presenting your work in regular meetings, taking feedback and integrating the goals of the project into your individual research directions.
- Publishing in top-tier venues (conferences and journals). Communicating your work to the best possible audience.
- Collaborating with other researchers, including collaborators at VGG Oxford
- Co-advising junior PGR students
You should apply if
- PhD (completed or working towards) in Video Understanding, preferably with expertise in video understanding or 3D Vision.
- Prior degree in computer science, engineering or mathematics.
- Detailed knowledge of video understanding state-of-the-art, approaches, datasets and problems.
- Experience in handling video data, for learning and inference.
- Experience in modelling deep learning approaches for Video Understanding.
- Experience and evidence of publishing at high-calibre conferences and journals (at least one first-author paper in a major venue – CVPR/ICCV/ECCV/BMVC/NeurIPs/PAMI/IJCV/Neurips/ICLR in the past 3 years).
- Excellent programming skills (Python).
- Proficiency in deep learning frameworks (PyTorch).
Additional information
For informal queries please contact: Prof Dima Damen: +44 117 9545633
Dima.Damen@bristol.ac.uk
To find out more about what it\’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:
Contract type: Open ended with fixed funding until 26/5/2028
Work pattern: Full time
Grade: I
School/Unit: School of Computer Science
This advert will close at 23:59 UK time on 16/07/2025
Interviews are anticipated to take place on 29/07/25
The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.
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Research Associate in 4D Video Understanding employer: University of Bristol
Contact Detail:
University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in 4D Video Understanding
✨Tip Number 1
Familiarise yourself with the latest research in 4D video understanding. Read recent papers from top-tier conferences like CVPR and ICCV to understand current trends and challenges in the field. This will not only enhance your knowledge but also help you engage in meaningful discussions during interviews.
✨Tip Number 2
Connect with current researchers in the field, especially those associated with the University of Bristol or similar institutions. Networking can provide insights into the team dynamics and ongoing projects, which can be beneficial when tailoring your approach during interviews.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, particularly any work related to deep learning and video understanding. Be ready to explain your methodologies, findings, and how they relate to the role you're applying for, as this will demonstrate your expertise and fit for the position.
✨Tip Number 4
Consider reaching out to Prof Dima Damen for an informal chat about the role and the research team's goals. This shows initiative and genuine interest, and it could give you valuable insights that you can use to stand out during the application process.
We think you need these skills to ace Research Associate in 4D Video Understanding
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in video understanding and deep learning. Emphasise any publications you've contributed to, especially if they are first-author papers in major venues.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the research team. Discuss how your background aligns with the specific requirements of the position, particularly your expertise in 4D video understanding and programming skills.
Showcase Your Research Experience: Detail your previous research projects related to video understanding or 3D vision. Include specific methodologies you used, challenges you faced, and how you overcame them, as well as any collaborative efforts with other researchers.
Highlight Technical Skills: Clearly list your technical skills, particularly in Python and deep learning frameworks like PyTorch. Mention any experience you have with handling video data and modelling deep learning approaches, as these are crucial for the role.
How to prepare for a job interview at University of Bristol
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to video understanding or 3D vision. Highlight any publications you've contributed to, particularly first-author papers in high-calibre venues, as this will demonstrate your capability and fit for the role.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, particularly in Python and deep learning frameworks like PyTorch. Be ready to discuss specific projects where you've applied these skills, as technical expertise is crucial for this position.
✨Engage with the Interviewers
During the interview, actively engage with the panel by asking insightful questions about their current research and future directions. This shows your genuine interest in the role and helps you understand how you can contribute to their team.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples from your past experiences where you've successfully worked with others. Be ready to discuss how you handled feedback and integrated it into your research, as well as how you might co-advise junior students.
