PhD studentship in AI for Air Traffic Control at University of Exeter

Laplace Expert Ltd; Exeter; On-site; GBP 18,000 - 21,000; Full time

Benefits offered by this job

Fully funded

Stipend

Tuition fully covered

Job summary

University of Exeter invites applicants for a PhD studentship focused on AI for Air Traffic Control. The role involves developing AI/ML methods for safety-critical decision support within the AI and Data Science group, based in Exeter, United Kingdom, and pursuing research aligned with EPSRC and NATS.

The position is 4 years long and is to be pursued on-site. Funding details indicate full stipend support, tuition coverage, and a dedicated research environment under the Department of Computer

Qualifications

• Strong undergraduate degree in a relevant field or equivalent.
• Experience in machine learning and AI research is desirable.
• Attention to research quality and communication is essential.

Skills

Machine learning

Artificial intelligence

Decision support

Data analysis

Research communication

Independent research

Teamwork

Machine learning and artificialai

Education

Strong undergraduate degree or equivalent

Job description

PhD studentship in AI for Air Traffic Control at University of Exeter

University of Exeter · Department of Computer Science

Not specified

About This Opportunity

University of Exeter is offering a PhD studentship in AI for Air Traffic Control in Exeter, United Kingdom. The opportunity is relevant to Artificial Intelligence & Data Science and focuses on the research, training, or professional activities described in the official vacancy.

This PhD studentship at University of Exeter focuses on AI for Air Traffic Control. Develop machine-learning and AI methods for safety-critical air-traffic-control decision support with EPSRC and NATS. The opportunity is based in Exeter, United Kingdom and sits within Artificial Intelligence & Data Science.

AI for Air Traffic Control Artificial Intelligence & Data Science

Level PhD

Attendance On-site

Time Commitment Full-time

Duration 4 years

Reference Code DTA390

Field AI for Air Traffic Control

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

• Amount Fully Funded
• Funding Type Stipend
• Funding Status Fully Funded
• Period Per Year
• Tuition Coverage Fully Covered
• Stipend Yes

Requirements

Education

Applicants should hold, or expect to obtain, a strong relevant undergraduate degree or equivalent; consult the official advert for the exact threshold.

Experience

Technical Skills

• Machine learning
• Artificial intelligence
• Decision support
• Data analysis
• Machine learning and artificial intelligence

General Skills

• Research communication
• Independent research
• Teamwork