At a Glance
- Tasks: Conduct cutting-edge research in computer vision and collaborate with project partners.
- Company: Join the prestigious University of Oxford, a world-class centre for innovation.
- Benefits: Enjoy 38 days annual leave, excellent pension scheme, and flexible working options.
- Other info: Dynamic and diverse work environment with opportunities for professional growth.
- Why this job: Make a real impact on global challenges while advancing your research career.
- Qualifications: Strong background in computer vision and research experience required.
The predicted salary is between 39424 - 43984 £ per year.
We are seeking a highly motivated Postdoctoral Research Associate in Computer Vision to join the Visual Geometry Group (Central Oxford), funded by ERC. Reporting to the Principal Investigator, you will help ensure a healthy and vibrant research environment within the Visual Geometry Group. This will involve conducting projects in computer vision research, including the work involved in the collaborations with project partners.
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges.
As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:
- Excellent contributory pension scheme
- 38 days annual leave (including public holidays) – pro rata for part time jobs
- Family leave schemes
- Cycle loan scheme and discounted public transport
The successful candidate will work onsite in the Department of Computer Science buildings in central Oxford, however remote and flexible working can be considered.
Committed to equality and valuing diversity.
You will be required to upload a supporting statement and an up-to-date CV as part of your online application. Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered. While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.
The closing date for applications is midday on 26th June 2026. Interviews are expected to be held in early July.
Salary (£): Grade 07RS: £39,424 - £43,984 per annum inclusive of Oxford University weighting.
Research Associate in Computer Vision employer: Corehr
The University of Oxford offers a dynamic and supportive work environment, renowned for its commitment to research excellence and employee wellbeing. With an impressive benefits package including generous annual leave, a contributory pension scheme, and opportunities for professional growth, employees are encouraged to thrive both personally and professionally. Located in the heart of Oxford, the Department of Computer Science fosters a collaborative culture that values diversity and innovation, making it an exceptional place for those passionate about tackling global challenges through cutting-edge research.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Computer Vision
✨Tip Number 1
Network like a pro! Reach out to folks in the Visual Geometry Group or related fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your computer vision knowledge and be ready to discuss your past projects. We want to see your passion and expertise shine through!
✨Tip Number 3
Don’t forget to showcase your personality! When you get the chance to meet the team, let your enthusiasm for research and collaboration come through. We love a good team player!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our amazing team at Oxford.
We think you need these skills to ace Research Associate in Computer Vision
Some tips for your application 🫡
Tailor Your Supporting Statement:Make sure your supporting statement is personalised and directly addresses the essential selection criteria. We want to see how your unique experiences align with what we're looking for, so don’t hold back!
Showcase Your Passion for Research:Let us know why you're excited about computer vision and research! Share specific projects or experiences that highlight your enthusiasm and commitment to the field. This will help us see your genuine interest in joining our team.
Keep It Clear and Concise:While we love detail, clarity is key! Make sure your CV and supporting statement are well-structured and easy to read. Avoid jargon unless it’s relevant, and keep your language straightforward to make a strong impression.
Apply Through Our Website:Don’t forget to submit your application through our official website! This ensures that your application is processed correctly and gives you the best chance of being considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Corehr
✨Know Your Research
Make sure you’re well-versed in the latest trends and breakthroughs in computer vision. Familiarise yourself with the work of the Visual Geometry Group and be ready to discuss how your skills and experiences align with their projects.
✨Tailor Your Supporting Statement
Your supporting statement is your chance to shine! Clearly demonstrate how you meet each essential selection criterion. Use specific examples from your past research or projects that highlight your expertise in computer vision.
✨Prepare for Technical Questions
Expect technical questions related to computer vision methodologies and tools. Brush up on relevant algorithms, frameworks, and your previous research contributions. Practising with a friend or mentor can help you articulate your thoughts clearly.
✨Show Enthusiasm for Collaboration
The role involves collaboration with project partners, so express your enthusiasm for teamwork. Share examples of successful collaborations from your past and how you contributed to a positive research environment.
