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- Tasks: Develop advanced computer vision algorithms and enhance robotic perception systems.
- Company: Leading robotics firm in the UK with a focus on innovation.
- Benefits: Gain hands-on experience and influence real-world robotic systems.
- Why this job: Join a cutting-edge team and make an impact in AI and robotics.
- Qualifications: Currently enrolled in a PhD program with strong AI and computer vision knowledge.
- Other info: Remote internship opportunity for Summer 2026.
The predicted salary is between 20000 - 30000 £ per year.
A leading robotics firm in the UK is seeking a PhD Research Intern for a remote Summer 2026 internship. You will develop advanced computer vision algorithms and enhance robotic perception systems.
The ideal candidate will be currently enrolled in a PhD program, have strong AI and computer vision knowledge, and experience with tools like PyTorch.
This role offers valuable hands-on experience and the opportunity to influence real-world robotic systems.
PhD Research Intern: Remote AI & Computer Vision employer: Locus Robotics
Contact Detail:
Locus Robotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Research Intern: Remote AI & Computer Vision
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and computer vision fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving PyTorch and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and robotics. We recommend practising coding challenges and discussing your past research experiences to demonstrate your knowledge and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace PhD Research Intern: Remote AI & Computer Vision
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your AI and computer vision knowledge in your application. We want to see how your experience with tools like PyTorch can contribute to our projects!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the PhD Research Intern role. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Locus Robotics
✨Know Your Algorithms
Make sure you brush up on the latest computer vision algorithms and their applications. Be ready to discuss how you've used tools like PyTorch in your projects, as this will show your practical experience and understanding of the field.
✨Showcase Your Research
Prepare to talk about your current PhD research and how it relates to the role. Highlight any specific projects that involved AI and computer vision, and be ready to explain your thought process and findings clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects in robotics and how they integrate AI. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or problem-solving scenarios during the interview. Practise explaining your approach to tackling complex problems, especially those related to robotic perception systems, to demonstrate your analytical skills.