PhD Research Intern: 3D Vision & SLAM for Spatial AI

Helsing

Greater London

On-site

GBP 20,088 - 26,784

Full time

14 days+

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Job summary

Helsing is seeking a PhD research intern in 3D computer vision to tackle open research problems in spatial perception and localisation. You will join our Spatial Intelligence Team, building systems for scene matching, geo-registration, SLAM, VIO, and 3D reconstruction, and explore how state-of-the-art methods can be deployed in real-world data conditions.

You will work with engineers and AI experts across Europe, translating research ideas into working code and contributing to mission-driven

Qualifications

  • Currently pursuing a PhD in computer vision, machine learning, robotics, or a closely related field.
  • Experience in localisation, scene matching, SLAM, visual odometry, or 3D reconstruction.
  • Proficient in Python and PyTorch.
  • Experience with Rust or C++.
  • Ability to work independently and turn research ideas into code.

Responsibilities

  • Survey and critically assess state-of-the-art research in geometric computer vision, feature matching, place recognition, and SLAM/VIO.
  • Conceptualise how emerging techniques could apply to localisation and reconstruction pipelines, discussing trade-offs with the team.
  • Evaluate the strengths and weaknesses of algorithmic approaches for mission-critical use cases.
  • Prototype and benchmark promising concepts against real-world operational data and constraints.
  • Summarise findings in clear, concise reports and present them to the team.

Skills

Localization
SLAM
3D reconstruction
Visual odometry
Python
PyTorch
Rust
C++

Education

PhD candidate in CV/ML/robotics

Job description

Helsing is seeking a PhD research intern in 3D computer vision to tackle open research problems in spatial perception and localisation. You will join our Spatial Intelligence Team, building systems for scene matching, geo-registration, SLAM, VIO, and 3D reconstruction, and explore how state-of-the-art methods can be deployed in real-world data conditions.

You will work with engineers and AI experts across Europe, translating research ideas into working code and contributing to mission-driven

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