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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will
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terrestrial 5G/6G networks and Low Earth Orbit (LEO) satellites. Rather than relying solely on dedicated positioning technologies such as GNSS, the research investigates how communication signals themselves can
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technologies such as GNSS, the research investigates how communication signals themselves can simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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sensor systems for reliable high-speed autonomous operation, such as GNSS/RTK, IMU, radar, lidar, cameras, sonar, motor feedback, propulsion diagnostics and communication systems. The candidate will
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing