Xiaolong Mi
Top university
1 week ago
Fully Funded PhD Positions in Intelligent Navigation, Geodesy, and Space Science at The Hong Kong Polytechnic University The Hong Kong Polytechnic University in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
Three fully funded PhD positions are available. Strong candidates will be supported to apply for the Hong Kong PhD Fellowship Scheme (HKPFS).
Country
Hong Kong
University
The Hong Kong Polytechnic University

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About this position
The Navigation Laboratory at The Hong Kong Polytechnic University is recruiting three fully funded PhD students in intelligent navigation, geodesy, and space science. The group is led by Dr. Xiaolong Mi and Prof. Wu Chen, and works on frontier topics in satellite navigation, space geodesy, resilient PNT, and AI-enabled navigation systems.
Potential research directions include GNSS signal processing and precise positioning, space geodesy and Earth observation, lunar and deep-space navigation, AI/ML for navigation, robotics, and resilient PNT, and embodied AI for robot navigation and positioning. This is a strong fit for students interested in interdisciplinary work across Earth Science, Aerospace Engineering, Computer Science, Electrical Engineering, Mathematics, Physics, and Robotics.
The post welcomes applicants with backgrounds in Geodesy/GNSS/Navigation, Aerospace Engineering/Electrical Engineering, Computer Science/Artificial Intelligence, Mathematics/Physics, or Robotics. The positions are fully funded, and strong candidates will be supported to apply for the Hong Kong PhD Fellowship Scheme (HKPFS).
Interested applicants should email a CV and a brief research statement/introduction to [email protected]. The post mentions intake in January or September 2027.
Funding details
Three fully funded PhD positions are available. Strong candidates will be supported to apply for the Hong Kong PhD Fellowship Scheme (HKPFS).
What's required
Applicants should have backgrounds in Geodesy, GNSS, Navigation, Aerospace Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Mathematics, Physics, Robotics, or related fields. The post asks for highly motivated PhD students and highlights strong candidates for HKPFS support.
How to apply
Send a CV and a brief research statement/introduction by email to Xiaolong Mi. Interested applicants may also be supported to apply for HKPFS.
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