Graduate degree in Engineering, Computer Science or a related field or a Bachelor’s degree with equivalent experience in positioning and Bayesian estimation.
Proficient in Bayesian estimation concepts and Kalman filtering
Proficient in statistics concepts and statistical data analysis
Proficient in C++
Familiar with modern object-oriented programming concepts and design patterns
Interested in location technologies and eager to experiment with state-of-the-art techniques
Good collaborator and communicator
Proficient in GPS / GNSS / radionavigation theory and technology
Experience with inertial navigation systems, visual localization, or other positioning techniques
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