AI Research Intern (PhD) – 3D Computer Vision

The role

You will tackle open research problems in spatial perception and localisation. You will investigate how research advances add value to deployable systems and prototype promising ideas.

What you will 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 localisation and reconstruction pipelines.
• Evaluate the strengths and weaknesses of different algorithmic approaches for mission-critical use cases.
• Prototype and benchmark promising concepts against real-world operational conditions.
• Summarise findings in written reports and present them to the team.

Required qualifications

• 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.
• Experienced with AI frameworks such as PyTorch.
• Experience with Rust or C++.
• Able to work reliably and independently.

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.
• Experience with simulators, emulators, or synthetic data generation for geometry or localisation tasks.

About the company

Helsing is a defence AI company with a mission to protect democracies. They aim to achieve technological leadership so open societies can continue to make sovereign decisions.