Cranfield University, United Kingdom, is offering a self-funded PhD opportunity in Multi-sensor Benchmark Development for Assured Positioning, Navigation, and Timing (PNT) Systems. This project addresses the critical need for robust, high-integrity navigation in GNSS-denied environments, with applications in aerospace, defence, autonomous systems, and beyond.
The programme provides an exceptional chance to contribute to cutting-edge research in resilient navigation, while developing advanced technical skills in sensor fusion, signal processing, machine learning, and integrity assessment.
Job Summary Table
| Field | Details |
|---|---|
| Title | PhD in Multi-sensor Benchmark Development for Assured PNT Systems |
| Organization/Publisher | Cranfield University |
| Work Location | Cranfield, United Kingdom |
| Research Field | Positioning, Navigation & Timing (PNT), Sensor Fusion, Signal Processing |
| Funding Info | Self-funded |
| Application Deadline | 24 September 2025 |
| Posted Date | August 2025 |
| Country | United Kingdom |
| Researcher Profile | PhD Applicant (early career researcher) |
| Apply Button | Apply at Cranfield University |
| Required Qualification | First or second-class UK honours degree (or equivalent) in a relevant discipline |
| Required Experience | Background in sensor modalities, computer programming, robotics/autonomous systems, signal processing, and data analytics |
| Salary Details | Self-funded (no stipend provided) |
About the Project
Positioning, navigation, and timing (PNT) are critical for modern transportation, logistics, defence, and critical infrastructure. However, reliance on GNSS (Global Navigation Satellite Systems) leaves systems vulnerable to interference, spoofing, and cyber-physical threats.
This PhD project seeks to:
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Develop versatile benchmarks for multi-domain PNT systems.
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Incorporate data from space-based, terrestrial, and platform-based navigation sources.
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Establish advanced integrity frameworks for evaluation.
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Deliver trustworthy and certifiable navigation solutions in complex, GNSS-denied scenarios.
The research will advance cognitive, multi-domain navigation approaches—vital for applications such as urban air mobility, aerospace systems, and defence operations.
Research Environment at Cranfield
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Based in the Resilient PNT Research Group, which leads pioneering work in sensor fusion, system integrity, and autonomous navigation.
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Access to state-of-the-art testbeds and software-defined radio platforms.
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Opportunities to collaborate with industry, join experimental campaigns, and publish in leading journals and conferences.
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Integration into the Cranfield Doctoral Network, providing a professional, interdisciplinary research community with networking, seminars, and transferable skills training.
Candidate Profile & Entry Requirements
Applicants should demonstrate:
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A strong foundation in materials science, physics, electronics, or computing.
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Hands-on experience with sensor modalities and hardware platforms.
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Advanced programming skills (C/C++, Python, Rust).
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Experience in signal processing, fusion, machine learning, robotics, or autonomous systems.
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Knowledge of statistical analysis and data analytics.
Eligibility: Open to UK, EU, and international applicants.
Programme Details
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Start Date: 28 September 2025
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Duration: 3 years (full-time)
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Funding: Self-funded (students must cover tuition and living expenses).
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Reference Number: CRAN-0005
How to Apply
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Complete the online application form via Cranfield University’s portal.
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For enquiries, contact:
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Supervisor: Dr Ivan Petrunin
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📧 Email: [email protected]
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☎️ Phone: +44(0)1234 758262
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Official Reference
🔗 Cranfield University – PhD Opportunities
⚠️ Disclaimer
This article summarizes the official PhD advertisement published by Cranfield University. For complete eligibility, requirements, and conditions, applicants must refer to the official Cranfield University website.