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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 36000 - 60000 £ 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, VLM's, VLA's.
- 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 City of London employer: Darcie Talent
Contact Detail:
Darcie Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the computer vision field. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your work! Create a portfolio showcasing your projects, publications, and any relevant research. This will help you stand out when chatting with potential employers or during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on algorithms and coding challenges related to object detection and tracking. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in dynamic scene understanding and deep learning frameworks.
We think you need these skills to ace Computer Vision Scientist in City of London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any significant contributions you've made in the field of computer vision. We want to see your publications and how they relate to object detection or tracking, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who fits right into our dynamic research team, so make it clear how your skills and experiences align with what we do.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Darcie Talent
✨Know Your Algorithms
Make sure you brush up on the algorithms you've worked with, especially those related to object detection and tracking. Be ready to discuss how you've implemented and optimised these algorithms in your previous projects.
✨Showcase Your Publications
Prepare to talk about your research contributions and publications at top-tier conferences like CVPR, ICCV, or ECCV. Highlight the impact of your work and how it relates to the role you're applying for.
✨Demonstrate Your Coding Skills
Since proficiency in Python and deep learning frameworks is key, be prepared to discuss your coding experience. You might even be asked to solve a coding problem or explain your approach to a specific project.
✨Engage with the Team's Vision
Research the company’s current projects and goals in dynamic scene understanding. Show enthusiasm for their work and be ready to discuss how your expertise can contribute to their innovative environment.
