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

Helsing

Paris

Sur place

EUR 12 276 - 18 972

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Helsing is seeking a PhD research intern in 3D computer vision in Paris. You will tackle open research problems in spatial perception and localisation, contributing to the Spatial Intelligence Team and evaluating ideas on deployable systems.

You will work with a distributed Europe-wide team, leveraging Python and PyTorch, with exposure to Rust/C++ development and cutting-edge SLAM/VIO and 3D reconstruction research.

Qualifications

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

Responsabilités

  • 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 algorithmic approaches for concrete, mission-critical use cases.
  • Prototype and benchmark promising concepts against real-world conditions such as illumination changes, viewpoint shifts, seasons, or sensor modalities.
  • Summarise findings in clear reports and present them to the team.

Connaissances

Python
PyTorch
Rust
C++

Formation

PhD candidate in computer vision/ML/robotics

Outils

Rust
C++

Description du poste

Helsing is seeking a PhD research intern in 3D computer vision in Paris. You will tackle open research problems in spatial perception and localisation, contributing to the Spatial Intelligence Team and evaluating ideas on deployable systems.

You will work with a distributed Europe-wide team, leveraging Python and PyTorch, with exposure to Rust/C++ development and cutting-edge SLAM/VIO and 3D reconstruction research.

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