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- Tasks: Develop cutting-edge AI and computer vision algorithms for real-world robotic systems.
- Company: Join Locus Robotics, a leader in AI and robotics research.
- Benefits: Gain hands-on experience, mentorship, and potential career pathways.
- Why this job: Make a real impact on production robotic systems used globally.
- Qualifications: PhD students in relevant fields with strong AI and coding skills.
- Other info: Remote internship with unmatched access to real-world data from 15,000+ robots.
The predicted salary is between 20000 - 30000 £ per year.
We are seeking a PhD Research Intern based in England, UK to join our AI & Robotics Research team for a Summer 2026 internship. This is a remote position offering hands‑on experience developing and deploying cutting‑edge AI and computer vision research on production robotic systems. You will work with real‑world data collected from a large‑scale fleet of autonomous robots operating in complex, dynamic warehouse environments. This role is ideal for PhD students looking to bridge academic research and real‑world robotic deployment.
Duration: Summer 2026 (approx. 12 weeks)
Working hours: 9:00 AM – 5:00 PM (UK local time)
Location: Remote (England-based)
Responsibilities
- Develop advanced computer vision algorithms for object recognition, scene understanding, visual SLAM, and 3D perception in real‑world robotic environments.
- Enhance robotic perception systems supporting navigation, localization, manipulation, and task execution using multimodal sensor data (RGB, depth, LiDAR).
- Research and prototype modern AI architectures, including:
- State‑of‑the‑Art Visual SLAM and Structure from Motion
- Large Language Models (LLMs) for robotics
- Generative AI and diffusion models
- Neural rendering, radiance fields, and Gaussian splatting
- Graph neural networks and self‑supervised learning
Qualifications
- Currently enrolled in a PhD program in Computer Vision, Robotics, Machine Learning, or a closely related field.
- Strong foundation in AI, deep learning, and computer vision.
- Hands‑on experience with PyTorch (preferred) or TensorFlow.
- Proficiency in Python; working knowledge of C++ is 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
- Anomaly Detection
- Generative AI & Diffusion Models
- Neural Rendering, Radiance Fields, Gaussian Splatting
- Robot Localization & Cross‑View Geo‑Localization
- Visual SLAM, Visual Odometry, Structure from Motion
- Monocular Depth Estimation & Semantic Segmentation
- Birds‑Eye View (BEV) Representations
- Self‑Supervised & Representation Learning
- Reinforcement Learning for Robotics
- Language Models for Embodied AI
Locus Robotics is an equal opportunity employer.
PhD Research Intern – 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 – AI & Computer Vision
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or research, make sure to highlight it during interviews. Bring examples of your work with AI and computer vision to the table – it’ll help us see your potential in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common questions related to AI and robotics. We want to see how you think and solve problems, so be ready to showcase your analytical skills!
✨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 you’re genuinely interested in joining our team at Locus Robotics.
We think you need these skills to ace PhD Research Intern – AI & Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI, computer vision, and robotics. We want to see how your skills align with the responsibilities of the PhD Research Intern role, so don’t hold back on showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and robotics, and how your academic journey has prepared you for this internship. We love seeing enthusiasm and a clear connection to our work.
Showcase Your Projects: If you've worked on any cool projects, especially those involving real-world data or robotic systems, make sure to mention them! We’re keen to see how you’ve applied your knowledge practically, so include links or descriptions of your work.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Locus Robotics
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI and computer vision. Familiarise yourself with key concepts like visual SLAM, generative AI, and neural rendering. Being able to discuss these topics confidently will show that you're not just a PhD student, but someone who's genuinely passionate about the field.
✨Showcase Your Projects
Prepare to talk about your previous research and projects, especially those involving real-world data or robotics. Highlight any hands-on experience you've had with PyTorch or TensorFlow, and be ready to explain how your work can translate into practical applications in robotic systems.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the team’s current projects, challenges they face in deploying AI solutions, or their approach to collaboration. This not only shows your interest but also helps you gauge if the role is the right fit for you.
✨Communicate Clearly
Since this role involves collaboration across various disciplines, practice explaining complex ideas in simple terms. Good communication skills are crucial, so make sure you can articulate your thoughts clearly, whether it’s during technical discussions or when presenting your findings.