• Research, design, and develop alternative PNT solutions leveraging signals of opportunity (Wi-Fi, cellular, LEO satellites, GNSS backups, etc.), radio SLAM, and inertial navigation. • Implement and optimize sensor fusion algorithms integrating IMU, LiDAR, radar, barometers, magnetometers, and RF-based positioning. • Develop robust navigation algorithms based on Kalman filtering, factor graphs, and particle filtering for real-time applications. • Work on radio-based navigation techniques, including time-difference-of-arrival (TDOA), frequency-difference-of-arrival (FDOA), and Doppler-based positioning. • Design and implement signal processing techniques for extracting positioning information from RF signals, including waveform analysis and multipath mitigation. • Conduct real-world testing and data collection campaigns to validate and refine PNT solutions. • Write clean, efficient, and well-documented code in Python and C++, with experience in simulation environments such as MATLAB, GNU Radio, or SDR-based platforms. • Collaborate with cross-functional teams, including RF engineers, AI/ML researchers, and roboticists, to develop integrated navigation systems.