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12Open Positions

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PhD Research Intern – AI & Computer Vision

Locus Robotics
Found 1 week ago
Location
Remote, United Kingdom
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • AI
  • deep learning
  • computer vision
  • PyTorch
  • TensorFlow
  • Python
  • C++
  • robot perception systems
  • RGB-D cameras
  • stereo vision
  • LiDAR
  • SLAM
  • visual odometry
  • 3D reconstruction pipelines

Soft Skills

  • problem-solving skills
  • English communication skills
  • collaborate in a distributed, multidisciplinary team

Job Description

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.

Requirements

  • 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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Computer Vision

Languages

  • English

Nice to Haves

  • working knowledge of C++
  • Prior publications in top-tier robotics, CV, or ML venues.
  • Familiarity with SLAM, visual odometry, or 3D reconstruction pipelines.
▶Apply Now

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