University Of Exter Machine Learning & AI for Air Traffic Control PhD Studentship (Stipend £20,780 per year)
The University of Exeter, in collaboration with NATS (the UK’s leading air navigation service provider), has launched a pioneering Centre for Doctoral Training. This program is designed to solve high-stakes, safety-critical challenges in aviation using cutting-edge Artificial Intelligence.
The University of Exeter, in collaboration with NATS (the UK’s leading air navigation service provider), has launched a pioneering Centre for Doctoral Training. This program is designed to solve high-stakes, safety-critical challenges in aviation using cutting-edge Artificial Intelligence.
Financial Support & Funding Package
This is a fully-funded studentship designed to support researchers for the long term.
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Annual Tax-Free Stipend: At least £20,780 per year.
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Tuition Fees: Full coverage of Home/UK tuition fees.
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Duration: 4 years of full-time funding (pro-rata for part-time).
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Placement: Based at the Streatham Campus, Exeter, with funded industry visits to NATS in Whiteley.
The First Year: Training & Exploration
Unlike traditional PhDs, this program offers a foundational first year to bridge the gap between AI and Aviation:
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Dual Training: Master ML/AI methods at the University while learning the fundamentals of Air Traffic Control at NATS.
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Mini-Projects: Complete two short research rotations before finalizing your main PhD thesis topic.
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Mentorship: Benefit from dual supervision by academic professors and industry experts from NATS.
Potential Research Areas
Candidates can choose from a variety of innovative projects, such as:
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Human-Machine Teaming: Optimizing how AI agents and human controllers work together.
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AI Agents: Developing autonomous systems for traffic management.
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Signal Analysis: Using AI to detect "weak signals" for better situational awareness in control rooms.
Candidate Profile
Eligible Backgrounds:
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Computer Science, Mathematics, Engineering, or Cognitive Science.
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Strong interest in Machine Learning, Deep Learning, Probabilistic Methods, and Uncertainty Quantification.
Eligibility Note: Funding is primarily for students with Home/UK fee status. If you have moved to/from the UK or ROI within the past 3 years, eligibility advice should be sought.
Application Details & Deadlines
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Job Reference: 5518
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Closing Date: January 11, 2026
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Placement Date: Posted on December 23, 2025
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Selection: This studentship is awarded strictly on the basis of Merit.
Industry Partnership: Because NATS provides funding and material support, special terms apply to the project. These will be detailed during the interview and in the formal offer letter.
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