At a Glance
- Tasks: Develop cutting-edge perception technology for autonomous vehicles and robotics.
- Company: Innovative startup focused on real-time 3D solutions for defence and civilian use.
- Benefits: Competitive salary, equity options, hybrid working, and opportunities for research publication.
- Other info: Dynamic environment with significant career growth and research opportunities.
- Why this job: Join a pioneering team at the forefront of AI and robotics innovation.
- Qualifications: PhD in Computer Vision, AI, or Robotics with strong programming skills.
The predicted salary is between 110000 - 150000 £ per year.
We are seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. You will work directly with the Founder and technical leaders to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding.
The Senior Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate. We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.
Founded in 2024, the business focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems for both defence and civilian use. The technology is a real-time, high-resolution passive 3D sensor, based on AI and multi-stereoscopy. They are building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system.
Responsibilities:
- Geometry & Multi-View Vision
- Develop and optimise multi-camera calibration and alignment pipelines
- Design algorithms for multi-view correspondence and reconstruction
- Improve system-level accuracy and robustness across configurations
- Applied Research & Innovation
- Explore and implement novel approaches at the intersection of geometry and learning
- Contribute to advancing state-of-the-art perception techniques
- Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate
- System Integration
- Work closely with ML and systems engineers to integrate perception into deployable systems
- Analyse real-world performance and iterate on failure modes
- Ensure algorithms perform robustly outside controlled environments
- Engineering Execution
- Translate research ideas into production-quality code
- Maintain high standards of code quality, testing, and reproducibility
Requirements:
- PhD in Computer Vision, AI, Robotics, Machine Learning, or closely related field
- Strong expertise in multi-view geometry and camera calibration
- Strong experience in 3D vision / reconstruction/ SLAM
- Strong programming skills (Python, Java, C, CUDA and/or C++)
- Demonstrated ability to translate theory into working systems
- Citizenship of a NATO country (required due to project constraints)
Highly Desirable:
- Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.)
- Experience with real-world perception systems (robotics, UAVs, automotive, defence)
- Experience combining geometric and learned approaches
Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in multi-view geometry and camera calibration. We want to see how your skills align with the role, so don’t hold back on showcasing your programming prowess and any relevant projects you've worked on.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with 3D vision and how it relates to our work at StudySmarter. A tailored application shows us you’re genuinely interested in joining our team!
Share Your Research: If you’ve got publications in top-tier venues like ICCV or CVPR, make sure to include them! We love seeing candidates who are engaged in cutting-edge research, so let us know about your contributions to the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your Stuff
Make sure you brush up on your knowledge of multi-view geometry and camera calibration. Be ready to discuss your PhD research and how it relates to the role. They’ll want to see that you can translate complex theories into practical applications.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented 3D vision or SLAM techniques. Highlight any real-world systems you've worked on, especially in robotics or autonomous vehicles. Concrete examples will help demonstrate your hands-on experience.
✨Research the Company
Dive into what this company is doing with their novel perception technology. Understand their approach to multi-stereo perception and be ready to share your thoughts on it. Showing genuine interest in their work can set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions or coding challenges during the interview. Brush up on your programming skills in Python, Java, or C++. Practising common algorithms related to computer vision can also give you an edge.