Research Scientist, SLAM

Advance our large-scale SLAM stack to map and re-localise across sprawling, evolving mining and construction sites.

What you'll do

• Extend multi-session SLAM to handle map updates over weeks and months
• Develop loop-closure and place-recognition methods for feature-poor environments
• Integrate semantic information to improve mapping robustness
• Work closely with field teams to iterate on real-world performance

What we look for

• PhD focused on visual or LiDAR SLAM
• Proven track record with large-scale mapping systems
• Strong C++ and systems-level programming skills
• Experience with ROS or similar robotics middleware is a plus