PhD Research Intern: 3D Vision & SLAM

EngineersOfAI; Germany (OH); Hybrid; USD 22,000 - 36,000; Part time

Job summary

Helsing is seeking a PhD research intern in 3D computer vision to tackle open problems in spatial perception and localisation. You will join our Spatial Intelligence Team to prototype, evaluate, and refine state-of-the-art approaches for scene matching, SLAM, and 3D reconstruction in deployable systems.

You will collaborate with a Europe-wide team of AI experts, publishing findings and integrating ideas into mission-critical workflows under real-world data conditions.

Qualifications

• Pursuing a PhD in computer vision, ML, robotics or a closely related field.
• Demonstrated experience in localisation, scene matching, SLAM, visual odometry or 3D reconstruction.
• Proficient in Python and experienced with AI frameworks.

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, and discuss trade-offs with the team.
• Evaluate strengths and weaknesses of different algorithmic approaches for concrete, mission-critical use cases.
• Prototype and benchmark promising concepts against real-world operational conditions such as changes in illumination, viewpoint, season, or sensor modality.
• Summarise findings in clear, concise written reports and present them to the team.

Skills

Geometric computer vision

Localization / place recognition

SLAM / Visual odometry

3D reconstruction

Research evaluation

Education

Pursuing a PhD in computer vision / ML / robotics

Tools

Python

AI frameworks

Job description

Helsing is seeking a PhD research intern in 3D computer vision to tackle open problems in spatial perception and localisation. You will join our Spatial Intelligence Team to prototype, evaluate, and refine state-of-the-art approaches for scene matching, SLAM, and 3D reconstruction in deployable systems.

You will collaborate with a Europe-wide team of AI experts, publishing findings and integrating ideas into mission-critical workflows under real-world data conditions.