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• Expertise with Kalman filtering (KF), extended KF, or other sequential model-based estimators • Experience with conducting research in navigation applications for robotic or automated transportation
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industry partners, Phasor Innovation, on the topic of magnetic navigation with quantum diamond sensors. You will be expected to develop and solve algorithms associated with map matching and Kalman filtering
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sensors. You will be expected to develop and solve algorithms associated with map matching and Kalman filtering, as well as system noise modelling. You will likely have a background that includes strong
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., Kalman, extended Kalman and particle filters Programming languages such as e.g. Python, C++ and LABVIEW Experience with Robot Operating System (ROS) In the assessment, the emphasis is on the applicant's