AI Research Intern (Ph

As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore how novel approaches can push the state of the art. You will join the Spatial Intelligence Team, which builds systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), visual-inertial odometry (VIO), and 3D reconstruction.

What you'll do

• 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 our localisation and reconstruction pipelines, and discuss trade-offs with the team.
• Evaluate the 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.

What you'll need

• Currently pursuing a PhD in computer vision, machine learning, robotics, or a 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.
• Experience with Rust or C++.
• Able to work reliably and independently, and enjoy turning research ideas into working code.

Nice to have

• Published a paper, ideally on applied computer vision, at a top-tier conference or journal (e.g. CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
• Experience with learned feature matching, place recognition, VIO, or neural 3D representations (e.g. NeRF, Gaussian Splatting).
• Experience with model compression or domain adaptation for compute-constrained or edge deployment.

What they offer

• Work directly on protecting democratic countries while balancing ethical and geopolitical concerns.
• Operate in a domain with unique technical requirements where robustness, safety, and ethical considerations are vital.
• Access to world-leading experts in their fields across distributed European teams.