Ph.D. Position

**Job Description**
This self-funded Ph.D. opportunity focuses on assured multi-sensor localisation within 6G terrestrial and non-terrestrial networks (TN-NTN), aiming to deliver resilient, high-accuracy positioning by combining GNSS, inertial systems, and vision-based sensors. The project integrates navigation, AI-enhanced signal and data analysis, and wireless communication systems, with applications in autonomous vehicles, aerial mobility, and safety-critical infrastructure. It aims to design a localisation/positioning framework leveraging diverse signals and sensor inputs, and investigate algorithms for robust multi-sensor fusion and positioning assurance, particularly for challenging environments from urban canyons to remote regions.

**Skills & Abilities**
• Advanced expertise in multi-sensor fusion
• Signal processing
• Machine learning
• Positioning assurance
• Critical thinking
• Project management
• Technical communication

**Qualifications**
Required Degree(s) in:
• Engineering (e.g., Aerospace, Electrical, Telecommunications)
• Computer Science
• A closely related discipline

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