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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 tech 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 (m/f/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 (m/f/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 in online forums. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your work! Create a portfolio showcasing your projects, publications, and any cool algorithms you've developed. This will help you stand out when chatting with potential employers.
✨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 applications directly from passionate candidates like you. Plus, it gives you a better chance to showcase your enthusiasm for the role.
We think you need these skills to ace Computer scientist (m/f/d) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision and any significant contributions you've made, especially those publications at top-tier conferences like CVPR or ICCV. We want to see how your background aligns with our needs!
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 in object detection and tracking can contribute to our research team. Let us know what excites you about working with us!
Showcase Your Projects: If you've worked on any cool projects related to visual perception tasks, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Darcie Talent
✨Know Your Research Inside Out
Make sure you can discuss your previous work and publications in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how your contributions have advanced the field of computer vision.
✨Brush Up on Technical Skills
Since the role requires proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, ensure you're comfortable coding on the spot. Practise common algorithms related to object detection and tracking, as you might be asked to solve problems during the interview.
✨Stay Updated on Current Trends
Familiarise yourself with the latest advancements in computer vision and machine learning. Being able to discuss recent papers from conferences like CVPR, ICCV, or ECCV will show your passion for the field and your commitment to staying at the forefront of research.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their research projects, team dynamics, and future directions. This not only shows your interest but also helps you gauge if the environment aligns with your career goals.