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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.
- 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 scientist (f/m/d) 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 scientist (f/m/d) in City of London
✨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 the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your research contributions, publications, and any projects you've worked on. This will give potential employers a clear view of your expertise and what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past research in detail. Practice explaining complex concepts in simple terms, as this will demonstrate your communication skills and understanding of the subject.
✨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 how your experience aligns with our goals in advancing dynamic scene understanding.
We think you need these skills to ace Computer scientist (f/m/d) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision, object detection, and any publications you've got. We want to see how your background aligns with our needs, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your expertise can contribute to our research team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you’ve worked on any cool projects or research related to visual perception tasks, make sure to mention them! We’re keen to see practical applications of your skills, so include links or descriptions that highlight your contributions.
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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Darcie Talent
✨Showcase Your Research
Make sure to highlight your previous research contributions, especially any publications in top-tier conferences like CVPR, ICCV, or ECCV. Be prepared to discuss your work in detail and how it relates to the role you're applying for.
✨Demonstrate Technical Proficiency
Brush up on your Python skills and be ready to talk about your experience with deep learning frameworks such as PyTorch or TensorFlow. You might even be asked to solve a coding problem, so practice coding challenges relevant to computer vision.
✨Understand the Company’s Vision
Research the company’s projects and their approach to dynamic scene understanding. This will help you align your answers with their goals and show that you’re genuinely interested in contributing to their mission.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask at the end of the interview. This could include inquiries about their current research projects, team dynamics, or opportunities for collaboration. It shows your enthusiasm and engagement with the role.