PhD Research Intern – AI & Computer Vision in Edinburgh

PhD Research Intern – AI & Computer Vision in Edinburgh

Edinburgh Internship 20000 - 30000 € / year (est.) No home office possible
Locus Robotics

At a Glance

  • Tasks: Conduct cutting-edge research in AI and computer vision with real-world applications.
  • Company: Join Locus Robotics, a leader in robotics and AI innovation.
  • Benefits: Gain world-class mentorship and access unmatched real-world data.
  • Other info: Exciting career pathways for high-performing interns in a dynamic environment.
  • Why this job: Make a tangible impact on robotic systems used globally every day.
  • Qualifications: PhD candidates with strong analytical skills and experience in robotics.

The predicted salary is between 20000 - 30000 € per year.

We are seeking a PhD Research Intern based in England, UK to join our AI team. The ideal candidate will have:

  • Working knowledge of C++ (a plus)
  • Experience with robot perception systems (e.g., RGB‑D cameras, stereo vision, LiDAR)
  • Strong analytical and problem‑solving skills
  • Excellent English communication skills and ability to collaborate in a distributed, multidisciplinary team
  • Experience working with large‑scale datasets or real‑world robotics deployments
  • Prior publications in top‑tier robotics, CV, or ML venues
  • Familiarity with SLAM, visual odometry, or 3D reconstruction pipelines

Why Intern at Locus Robotics?

  • Unmatched real‑world data: Work with data from 15,000+ robots operating across hundreds of customer sites globally
  • Real impact: Your work directly influences production robotic systems used daily in live customer environments
  • Research meets reality: Bridge cutting‑edge academic research with deployment at scale
  • World‑class mentorship: Learn from experienced researchers and engineers working at the intersection of AI and robotics
  • Career pathways: High‑performing interns may be considered for future internships, extended research collaborations, or full‑time roles

Research Areas of Interest: We are particularly interested in candidates excited by one or more of the following: Anomaly Detection, Generative AI.

PhD Research Intern – AI & Computer Vision in Edinburgh employer: Locus Robotics

Locus Robotics is an exceptional employer for PhD Research Interns, offering a unique opportunity to work with unmatched real-world data from over 15,000 robots across global customer sites. Our collaborative and innovative work culture fosters professional growth through world-class mentorship and the chance to bridge cutting-edge research with practical applications in robotics. With potential pathways to future roles, we are committed to nurturing talent and making a meaningful impact in the field of AI and robotics.

Locus Robotics

Contact Detail:

Locus Robotics Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to professionals in the AI and robotics fields on LinkedIn or at conferences. We can’t stress enough how a simple chat can lead to opportunities you might not find on job boards.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to robot perception systems or large-scale datasets. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.

Tip Number 3

Prepare for interviews by brushing up on your problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in multidisciplinary teams. We want to see how you think and collaborate!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact in the world of AI and robotics.

We think you need these skills to ace PhD Research Intern – AI & Computer Vision in Edinburgh

C++
Robot Perception Systems
RGB-D Cameras
Stereo Vision
LiDAR
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in AI, computer vision, and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and publications!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and robotics, and how your background makes you a perfect fit for our team. Keep it engaging and personal!

Showcase Your Problem-Solving Skills:We love candidates who can think critically! In your application, mention specific challenges you've tackled in past projects, especially those involving large datasets or real-world deployments.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at Locus Robotics

Know Your Stuff

Make sure you brush up on your knowledge of AI, computer vision, and robotics. Familiarise yourself with SLAM, visual odometry, and 3D reconstruction pipelines. Being able to discuss these topics confidently will show that you're serious about the role.

Showcase Your Experience

Prepare to talk about your previous projects, especially those involving large-scale datasets or real-world robotics deployments. If you've got publications in top-tier venues, be ready to highlight them and explain their relevance to the position.

Practice Problem-Solving

Expect some technical questions or case studies during the interview. Practise solving problems related to robot perception systems and analytical challenges. This will demonstrate your strong problem-solving skills and ability to think on your feet.

Communicate Clearly

Since excellent English communication skills are a must, practise explaining complex concepts in simple terms. Be prepared to collaborate and discuss ideas with a multidisciplinary team, showing that you can engage effectively with others.