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
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision, especially those related to climate science. This will not only help you understand the project better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Connect with current or former members of the Perceptual Intelligence and Extended Reality Lab (PIXL) on platforms like LinkedIn. They can provide insights into the lab's culture and expectations, which can be invaluable for your application.
✨Tip Number 3
Prepare to discuss your experience with dataset curation and model design in detail. Think of specific examples where you've successfully tackled similar challenges, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Show your enthusiasm for the role by staying updated on the intersection of technology and environmental issues. Being able to articulate your passion for both computer vision and climate science can set you apart from other candidates.
We think you need these skills to ace Research Associate in Computer Vision in Oxford
Some tips for your application 🫡
Understand the Role:Read the job description thoroughly to grasp the responsibilities and requirements of the Research Associate position. Pay special attention to the essential criteria and ensure you understand how your skills align with them.
Craft a Tailored Supporting Statement:Your supporting statement is crucial. Clearly demonstrate how you meet each of the essential criteria listed in the job description. Use specific examples from your experience that showcase your expertise in computer vision and any relevant projects you've worked on.
Prepare Your CV:Ensure your CV is up-to-date and highlights your relevant experience, education, and skills. Focus on achievements related to research, computer vision, and any interdisciplinary work that connects to climate science.
Personalise Your Application:While AI tools can assist in drafting, make sure your application reflects your personal insights and experiences. Avoid generic statements and ensure your application feels authentic and tailored to the role at the University of Oxford.
How to prepare for a job interview at University of Oxford
✨Understand the Project
Familiarise yourself with the ARIA-funded project and its goals. Be prepared to discuss how your skills in computer vision can contribute to developing a dynamic digital twin of the atmosphere.
✨Showcase Relevant Experience
Highlight your previous work related to dataset curation and designing computer vision models. Use specific examples to demonstrate your expertise and how it aligns with the role.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This shows your genuine interest in the position and helps you understand the expectations and culture of the lab.
✨Personalise Your Application
Ensure your CV and supporting statement reflect your personal experiences and insights. Avoid generic responses and tailor your application to highlight how you meet the essential criteria.
