AI Research Intern (PhD) – 3D Computer Vision
Core
PhD research intern solving open problems in spatial perception, localisation, and 3D reconstruction for defence AI systems.
Role type
PhD research intern (3D computer vision)
Builds
Systems for scene matching, geo-registration, SLAM, visual-inertial odometry (VIO), and 3D reconstruction
Domain
Defence AI, 3D computer vision, robotics
Deliverable
production ML models
Required skills
3D computer vision, localisation, scene matching, SLAM, visual odometry, 3D reconstruction, Python, PyTorch, Rust, C++
Preferred skills
published papers at top-tier conferences, learned feature matching, place recognition, neural 3D representations (NeRF, Gaussian Splatting), model compression, domain adaptation, simulators, synthetic data generation
Technologies
PyTorch, Rust, C++, NeRF, Gaussian Splatting
Responsibilities
Survey and assess state-of-the-art research in geometric computer vision and SLAM/VIO; conceptualise emerging techniques for localisation and reconstruction pipelines; evaluate algorithmic approaches for mission-critical use cases; prototype and benchmark concepts against real-world operational conditions; summarise findings in written reports and present to the team
Seniority
PhD candidate, hands-on research
