PhD Research Intern: Remote AI & Computer Vision in Edinburgh

PhD Research Intern: Remote AI & Computer Vision in Edinburgh

Edinburgh Internship 20000 - 30000 £ / year (est.) Working from home possible
Locus Robotics

At a Glance

  • 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.
  • Other info: Remote internship opportunity for Summer 2026.
  • 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.

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 in Edinburgh employer: Locus Robotics

Join a pioneering robotics firm that champions innovation and creativity, offering a dynamic remote work environment for the PhD Research Intern role. With a strong emphasis on employee development, you will gain invaluable hands-on experience in AI and computer vision while contributing to cutting-edge projects that shape the future of robotic systems. Our collaborative culture fosters growth and encourages you to make a meaningful impact from anywhere in the UK.

Locus Robotics

Contact Details:

Locus Robotics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD Research Intern: Remote AI & Computer Vision in Edinburgh

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.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and computer vision. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common questions related to AI and robotics. We recommend doing mock interviews with friends or using online platforms to build your confidence.

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 in Edinburgh

AI Knowledge
Computer Vision
Algorithm Development
Robotic Perception Systems
PyTorch
Research Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your relevant experience in AI and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and any tools like PyTorch that you’ve used.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about robotics and how your PhD research ties into the work we do at StudySmarter. Keep it engaging and personal!

Showcase Your Projects:If you’ve worked on any cool projects related to computer vision or AI, make sure to mention them in your application. We love seeing practical applications of your skills, so include links or descriptions of your work.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of 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 Stuff

Make sure you brush up on your AI and computer vision knowledge. Be ready to discuss the latest advancements in these fields and how they relate to the role. Familiarise yourself with PyTorch and any relevant projects you've worked on, as this will show your practical experience.

Showcase Your Projects

Prepare to talk about specific projects you've completed during your PhD. Highlight any algorithms you've developed or challenges you've overcome in robotic perception systems. This not only demonstrates your skills but also your ability to apply theoretical knowledge in real-world scenarios.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, their approach to AI and computer vision, and how you can contribute. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.

Practice Makes Perfect

Conduct mock interviews with friends or mentors to get comfortable with articulating your thoughts. Focus on explaining complex concepts clearly and concisely, as you may need to do this during the interview. The more you practice, the more confident you'll feel on the day!