Mengwei Sun

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Cranfield University is re-advertising a fully funded PhD opportunity in Ubiquitous Cognitive Navigation, based at the Centre for Autonomous and Cyber-Physical Systems. This project is at the forefront of AI-driven navigation research, aiming to enable resilient and intelligent navigation in a world increasingly reliant on positioning and timing technologies. The successful candidate will conduct innovative research with real-world impact across autonomous vehicles, smart infrastructure, and aerospace systems. The PhD student will collaborate closely with Spirent Communications, a global leader in PNT (Positioning, Navigation, and Timing) testing technologies, gaining hands-on experience and industry exposure. The position offers opportunities to attend world-leading PNT conferences and be part of a supportive, high-calibre research environment. Applicants must have a strong background in aerospace, robotics, navigation, or AI, and be passionate about advancing navigation and autonomy. Eligibility is restricted to UK candidates. Funding is fully provided, covering tuition and a stipend. The application deadline is December 28, 2024. Interested candidates should apply via the provided link and ensure they meet the eligibility criteria.

Cranfield University is inviting applications for a fully funded PhD position in Ubiquitous Cognitive Navigation, focusing on research at the intersection of artificial intelligence, autonomy, and resilient positioning, navigation, and timing (PNT) technologies. The project is based at the Centre for Autonomous and Cyber-Physical Systems and is conducted in collaboration with Spirent Communications, a global leader in PNT testing. The research aims to enable resilient and intelligent navigation for autonomous vehicles, smart infrastructure, and aerospace systems. Applicants should have a strong background in aerospace, robotics, navigation, or AI, and be eligible for UK home fees. The successful candidate will gain hands-on experience, industry exposure, and opportunities to attend leading PNT conferences, all within a supportive research environment. Funding covers tuition and provides a stipend, but is only available to UK home fee eligible applicants. Interested candidates should check their fee status and apply via the provided link before the deadline. The opportunity is ideal for those passionate about advancing navigation and autonomy technologies.

Cranfield University is inviting applications for a fully funded PhD position in Ubiquitous Cognitive Navigation, focusing on research at the intersection of AI, autonomy, and resilient positioning, navigation, and timing (PNT) technologies. The project is based in the Centre for Autonomous and Cyber-Physical Systems and is conducted in collaboration with Spirent Communications, a global leader in PNT testing. The research aims to enable resilient and intelligent navigation for autonomous vehicles, smart infrastructure, and aerospace systems. Applicants should have a strong background in aerospace, robotics, navigation, or AI, and be eligible for UK home fees. The studentship covers tuition and provides a stipend, with opportunities for industry exposure and attendance at leading conferences. The environment is supportive and high-calibre, offering hands-on experience and real-world impact. The application deadline is December 28, 2024. Interested candidates should apply online and ensure they meet the UK fee eligibility criteria.

Fully funded PhD opportunity at Cranfield University in Ubiquitous Cognitive Navigation with AI-Based Systems . This studentship sits at the intersection of aerospace engineering , robotics , computer science , electrical engineering , sensor fusion , navigation , artificial intelligence , and resilient Position, Navigation and Timing (PNT) systems. The project aims to develop AI-driven cognitive navigation methods for autonomous transport, especially in environments where GNSS signals are denied or degraded. The research is jointly supervised by Professor Ivan Petrunin and Dr Mengwei Sun . It focuses on multi-sensor fusion, adaptive decision-making, and robust navigation architectures for future autonomous systems. Students will work with advanced simulation tools, software-defined radio, hardware-in-the-loop testing, and embedded platforms, and will also complete two industry placements at Spirent Communications . Funding is provided by EPSRC Doctoral Landscape Awards , Spirent Communications PLC , and Cranfield University. The award offers a tax-free bursary of up to £24,000 per year plus full tuition fees for 3.5 years . This opportunity is for Home fee status applicants only. Eligibility highlights include a first or second class UK honours degree (or equivalent) in a related discipline, programming experience in Python and MATLAB , and interest or experience in autonomous systems, signal processing, robotics, or learning-based fusion methods. Deadline: 30 September 2026. Start date: 25 January 2027. To apply, complete the online application form. For informal enquiries, contact Dr Mengwei Sun at [email protected] or Professor Ivan Petrunin at [email protected] .