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- Tasks: Design and optimise algorithms for cutting-edge computer vision projects.
- Company: Join a world-class research team in a dynamic R&D environment.
- Benefits: Competitive salary, equity package, and access to high-performance computing.
- Why this job: Make significant contributions to the field and attend top-tier conferences.
- Qualifications: PhD in Computer Vision or related field with strong research background.
- Other info: Collaborative environment focused on innovation and real-world impact.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal for a researcher who has already made significant contributions to the field, for example, through publications at top-tier venues such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment.
Requirements
- PhD in Computer Vision, Machine Learning, Robotics, or a related field.
- Strong research background in object detection, tracking, segmentation, or visual understanding.
- Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- 1-3 years industry experience.
What We Offer
- Competitive salary and equity package.
- Access to high-performance computing infrastructure.
- Opportunities for publication, collaboration, and attending top-tier conferences.
- A collaborative, research-driven environment with a focus on innovation and impact.
Computer Vision Scientist in Nottingham employer: Darcie Talent
Contact Detail:
Darcie Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the computer vision field, attend meetups, and engage with researchers on platforms like LinkedIn. You never know who might have a lead on an exciting opportunity!
✨Tip Number 2
Show off your work! Create a portfolio showcasing your projects, publications, and any cool algorithms you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your research in detail. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Computer Vision Scientist in Nottingham
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research background in object detection, tracking, and visual understanding. We want to see your contributions to top-tier conferences like CVPR or ICCV, so don’t hold back!
Tailor Your Application: Customise your application to reflect the specific skills and experiences that match our job description. We love seeing how your expertise in Python and deep learning frameworks can contribute to our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our research team.
How to prepare for a job interview at Darcie Talent
✨Know Your Algorithms
Make sure you can discuss the algorithms you've worked on in detail. Be prepared to explain how they work, their strengths and weaknesses, and any optimisations you've implemented. This shows your deep expertise and helps you stand out.
✨Showcase Your Publications
Bring copies of your publications or have them easily accessible online. Be ready to discuss your contributions and the impact of your work at conferences like CVPR, ICCV, or ECCV. This demonstrates your active engagement in the field and your commitment to advancing research.
✨Brush Up on Python and Frameworks
Since proficiency in Python and frameworks like PyTorch or TensorFlow is crucial, make sure you're comfortable coding on the spot. Practise common tasks or problems you might encounter in the role, as this will show your technical skills and readiness for the job.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in dynamic scene understanding. Think about past projects where you faced challenges and how you overcame them. This will highlight your practical experience and ability to thrive in a fast-paced environment.