At a Glance
- Tasks: Join a cutting-edge project in Computer Vision and Climate Science at Oxford University.
- Company: Be part of the prestigious University of Oxford, renowned for its research excellence.
- Benefits: Enjoy 38 days of annual leave, flexible working, and a great pension scheme.
- Other info: Applications close on 9th September 2025; interviews in September.
- Why this job: Contribute to innovative research with real-world impact while working in a diverse environment.
- Qualifications: Ideal for candidates with a background in computer vision or related fields.
The predicted salary is between 38674 - 46913 £ per year.
Full-time (37.5 hours/week)
Fixed-term contract for 1 year, ending no later than 1 November 2026.
We are pleased to offer a Research Associate position at the University of Oxford, supervised by Professor Ronald Clark. The successful candidate will join the Perceptual Intelligence and Extended Reality Lab (PIXL) to work on an ARIA-funded project at the intersection of Computer Vision and Climate Science.
This project involves developing a new approach to estimate a dynamic, four-dimensional digital twin of the atmosphere, using ground-based stereo cameras and sensors. The post-holder will contribute throughout the research lifecycle, from dataset curation to designing innovative computer vision models. Flexible working arrangements are available; this position is based at the Department of Computer Science, requiring on-site work, with remote work possible upon agreement with the PI.
What We Offer
We care about our employees’ wellbeing, offering benefits including:
- Excellent contributory pension scheme
- 38 days of annual leave (pro-rata for part-time roles)
- Comprehensive childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket loans
- Membership to various social and sports clubs
Diversity
We are committed to equality and valuing diversity.
Application Process
Please upload an up-to-date CV, a supporting statement, and your research statement as part of your online application.
Your supporting statement should clearly demonstrate how you meet each of the essential criteria listed in the job description. Applications lacking a supporting statement, CV, or sufficient detail in addressing the criteria will not be considered.
While we acknowledge the use of AI tools in preparing applications, submissions that are clearly AI-generated without personalisation or insight will be rejected. Your application must reflect your own experiences and understanding of the role.
The closing date for applications is noon on 9th September 2025. Interviews are expected to be held in September.
Salary ranges from £38,674 to £46,913 per annum (Grade 07RS, including Oxford University weighting). There is potential to underfill at Grade 06RS: £34,982-£40,855 per annum, including Oxford University weighting.
#J-18808-LjbffrResearch Associate in Computer Vision in Oxford employer: University of Oxford
The University of Oxford is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the Perceptual Intelligence and Extended Reality Lab. Employees benefit from a generous pension scheme, extensive annual leave, and a commitment to diversity and wellbeing, all while contributing to groundbreaking research at the intersection of Computer Vision and Climate Science. With flexible working arrangements and opportunities for professional growth, this role provides a meaningful and rewarding experience in a prestigious academic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Computer Vision in Oxford
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at University of Oxford, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like University of Oxford. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Associate in Computer Vision in Oxford
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at University of Oxford. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at University of Oxford. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at University of Oxford
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at University of Oxford. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at University of Oxford to drive research projects forward.
