AI Research Intern (PhD) – 3D Computer Vision

Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role 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 our Spatial Intelligence Team , which builds systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), visual-inertial odometry (VIO), and 3D reconstruction. You will investigate how the latest advances in the research community can add value to deployable systems, prototype the most promising ideas, and evaluate them rigorously under real-world data distributions and compute constraints. You will work closely with a team distributed across Europe, alongside globally renowned AI experts, while collaborating with a broader team across Europe. The day-to-day 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. You should apply if you Are currently pursuing a PhD in computer vision, machine learning, robotics, or a closely related field. Have demonstrated theoretical and practical experience in localisation, scene matching, SLAM, visual odometry, or 3D reconstruction . Are proficient in Python and experienced with AI frameworks such as PyTorch. Have experience with Rust or C++ . Are able to work reliably and independently, and enjoy turning research ideas into working code. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don't meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. 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. Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.  The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.  Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.  In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and t