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- Tasks: Join the Device Vision Team to tackle exciting computer vision challenges and innovate smart device solutions.
- Company: Huawei, a global leader in ICT, dedicated to creating a fully connected world.
- Benefits: Mentorship from industry experts, generous leave, pension scheme, and life insurance.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI research and publish at top-tier conferences.
- Qualifications: PhD in Computer Vision or related field with hands-on VLM experience.
The predicted salary is between 20000 - 30000 £ per year.
About Huawei Research and Development UK Limited. Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.
This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei helps to develop the technologies of the future that will transform the way we all communicate, work and live.
For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
This strategic focus is a reflection of our core values:
- Staying customer-centric
- Inspiring dedication
- Persevering
- Growing by reflection
Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.
The Device Vision Team at Huawei UKRD in London is looking for Research Interns with experience in VLMs. The team is committed to solving challenging computer vision problems and developing efficient, ultra-low-power solutions that enable the next generation of smart devices to function as a universal AI assistant.
The research intern will conduct academic research with us for a minimum of six months. They will aim to advance the state-of-the-art in VLMs with top-tier conference publications and will collaboratively work with other team members on related research and applications in the company.
Key Responsibilities:
- Leading and participating in cutting-edge research projects, focusing on VLMs.
- Devising, prototyping and patenting innovative solutions in collaboration with product teams.
- Build benchmarks/baselines using public datasets.
- Publish research papers at top-tier CV/ML/AI conferences and/or journals.
- External engagement: drafting academic publications and patents.
This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
Person Specification:
Required:
- PhD in Computer Vision or related field (Machine Learning, Computer Graphics)
- Hands-on experience with VLMs
- First-author papers published in top-tier conferences including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, Siggraph (Asia), etc.
- Strong coding skills: able to quickly prototype in Python
- Excellent communication and writing skills
Desired:
- Passionate about building a universal AI assistant
- Experience working in the industry and collaborating with product teams
- Experience with PyTorch profiler, Gradio, etc.
- Hands-on experience with VLMs
- Ninja Programmer; Ninja Executions
What we offer:
- Assign with an industry expert as Mentor
- Fixed term employment contract up to two years
- 33 days annual leave entitlement per year (including UK public holidays)
- Group Personal Pension
- Employee Assistance Programme
- Life insurance
- Corporate social events
Research Intern - Computer Vision in London employer: Huawei R&D UK
Contact Detail:
Huawei R&D UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Intern - Computer Vision in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Huawei on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Huawei's projects and values. Show us that you’re not just another candidate; demonstrate your passion for computer vision and how it aligns with our mission of a fully connected world.
✨Tip Number 3
Practice your coding skills! Since we’re looking for strong coding abilities, brush up on Python and any relevant frameworks. You might even want to work on a small project to showcase your skills during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the team.
We think you need these skills to ace Research Intern - Computer Vision in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for computer vision and VLMs shine through. We want to see that you’re genuinely excited about the opportunity to contribute to cutting-edge research with us!
Tailor Your CV: Make sure your CV highlights relevant experience, especially any first-author papers or projects related to VLMs. We love seeing how your background aligns with our mission, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the role. Be specific about your skills and experiences, and explain how they relate to the responsibilities outlined in the job description. We want to know what makes you tick!
Apply Through Our Website: To make sure your application gets to us without a hitch, apply directly through our website. It’s the best way to ensure we see your application and can consider you for this exciting opportunity!
How to prepare for a job interview at Huawei R&D UK
✨Know Your VLMs Inside Out
Make sure you brush up on your knowledge of Vision Language Models (VLMs) before the interview. Be prepared to discuss your previous research, any papers you've published, and how your work aligns with Huawei's goals in computer vision.
✨Showcase Your Coding Skills
Since strong coding skills are a must for this role, be ready to demonstrate your proficiency in Python. You might be asked to solve a coding problem or discuss your approach to prototyping. Practise common algorithms and data structures to ensure you're sharp.
✨Communicate Clearly and Confidently
Excellent communication is key, especially when discussing complex topics like AI and machine learning. Practice explaining your research and ideas in simple terms, as if you were talking to someone outside your field. This will show your ability to collaborate effectively.
✨Engage with Their Vision
Familiarise yourself with Huawei's mission and values. During the interview, express your passion for building a universal AI assistant and how you can contribute to their vision of a fully connected, intelligent world. This will demonstrate your alignment with their goals.