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- Tasks: Conduct cutting-edge research in object detection and develop innovative algorithms.
- Company: Join a world-class research team focused on dynamic scene understanding.
- Benefits: Competitive salary, equity package, and access to high-performance computing.
- Why this job: Make a real impact in the computer vision field and publish your work.
- Qualifications: PhD in Computer Vision or related field with strong research background.
- Other info: Collaborative environment with opportunities for publication and attending top-tier conferences.
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.
Responsibilities
- Conduct original research in object detection, multi-object tracking, or video understanding.
- Develop novel models and algorithms that can be deployed in real-world systems.
- Collaborate with cross-functional teams to bring research ideas from concept to prototype and product.
- Publish high-impact papers and maintain strong visibility within the computer vision community.
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 employer: Darcie Talent
Contact Detail:
Darcie Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the computer vision community, especially those who've published at CVPR or ICCV. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research and projects in object detection and tracking. This will give potential employers a taste of your skills and creativity, making you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your algorithms and coding skills. Be ready to discuss your past research and how it applies to real-world problems. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience in dynamic scene understanding and your passion for innovation.
We think you need these skills to ace Computer Vision Scientist
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research experience in object detection and tracking. We want to see your contributions to the field, so don’t hold back on mentioning those top-tier publications!
Tailor Your Application: Customise your CV and cover letter to reflect the skills and experiences that align with our job description. We love seeing how your background fits into our dynamic team and the exciting work we do.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for computer vision shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity with our research team!
How to prepare for a job interview at Darcie Talent
✨Know Your Research Inside Out
Make sure you can discuss your previous work in detail, especially any publications at CVPR, ICCV, or ECCV. Be prepared to explain the significance of your contributions and how they relate to the role you're applying for.
✨Showcase Your Technical Skills
Brush up on your Python and deep learning frameworks like PyTorch or TensorFlow. You might be asked to solve a technical problem or discuss your approach to algorithm development, so being confident in these areas is key.
✨Prepare for Collaborative Questions
Since the role involves working with cross-functional teams, think about examples from your past where you've successfully collaborated. Be ready to discuss how you communicate complex ideas to non-experts and how you handle feedback.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in computer vision and related fields. Being able to discuss current trends and how they might influence your work will show your passion and commitment to the field.
