Prof R Everson
11 months ago
Machine learning and AI for air traffic control, Computer Science – PhD (EPSRC and NATS Funded). University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully Funded
Deadline
Expired
Country
United Kingdom
University
University of Exeter

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Where to contact
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About this position
The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air navigation services provider, is establishing the Centre for Doctoral Training in Air Traffic Management pioneering new research in machine learning and AI for air traffic control.
During their first year, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley on the south coast. In addition to this training, in the first year students will undertake two shorter research projects before determining their main research topic in conjunction with academic and industry supervisors. A wide variety of PhD projects is available; example project areas are:
· Human-machine teaming
· AI agents for air traffic control
· Weak signal analysis for air traffic control room situational awareness
These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep learning, AI, cognitive science, uncertainty quantification, probabilistic methods are encouraged to apply.
For eligible students the studentship will cover Home or International tuition fees plus an annual tax-free stipend of at least £20,780 for 4 years full-time, or pro rata for part-time study. Students will be based at the Streatham Campus in Exeter with funded visits to NATS.
The studentship will be awarded on the basis of merit. Students who pay international tuition fees are eligible to apply, but should note that the award will only provide payment for part of the international tuition fee (~£24k) and no stipend.
International applicants should to be aware that they will have to cover the cost of their student visa, healthcare surcharge and other costs of moving to the UK to do a PhD .
The conditions for eligibility of home fees status are complex and you will need to seek advice if you have moved to or from the UK (or Republic of Ireland) within the past 3 years or have applied for settled status under the EU Settlement Scheme.
The collaboration involves a project partner, NATS, who is providing funding [and other material support to the project]. This means there are special terms that apply to the project, these will be discussed with candidates at interview and fully set out in the offer letter. The collaboration with NATS is subject to contract. Full details will be confirmed at offer stage.
Funding details
Fully Funded
How to apply
Encouraged to apply with background in Computer Science, Mathematics, Engineering, and Cognitive Science
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