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- Tasks: Join a world-class team to design and optimise cutting-edge algorithms in computer vision.
- Company: Innovative research-driven company 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 field of computer vision and advance your research career.
- Qualifications: PhD in Computer Vision or related field with strong publication record.
- 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.
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 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the computer vision field, attend meetups, and engage with researchers at conferences. You never know who might have a lead on your dream job!
✨Tip Number 2
Showcase your work! Create a portfolio or GitHub repository that highlights 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. Tailor your application to highlight how your experience aligns with our mission in advancing dynamic scene understanding.
We think you need these skills to ace Computer scientist (m/f/d) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision, especially any work related to object detection and tracking. We want to see how your background aligns with our needs, so don’t be shy about showcasing your publications and projects!
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. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Research Impact: When detailing your research, focus on the impact of your work. Mention any significant contributions to the field, especially if you've published in top-tier venues like CVPR or ICCV. We’re keen to see how you’ve advanced the state of the art!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
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 Industry Trends
Familiarise yourself with the latest advancements in computer vision and machine learning. Being able to discuss recent papers from top-tier 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.