PhD Research Studentships

Routing and Scheduling Movements at Airports Considering Interdependence and Intermediate Holding

Supervisor: Jun CHEN
Apply by:30 June 2023
Start in:September (Semester 1)

Description

The project will develop the fundamental science in operational research and artificial intelligence technologies to deliver an entirely new category of Air Traffic Management (ATM) decision support tools for future airport airside operations, contributing towards the development of airport airside digital twins. The student will work closely with NATS, and the team specialised in ATM at Queen Mary University of London (QMUL), and benefit from having both academic and industry supervisors from QMUL and NATS.

Courses will be offered in many different subject areas via the host university. This includes research relevant courses, career and professional management, publishing, research design, writing skills through the existing CDT in Data­ centric Engineering. The student will be supported by the industry lead and team. There will be access to training courses at NATS and access to the NATS training college, its staff and curriculum and other materials. There will also be access to R&D resources including the NATS collaborative cloud computing platform including storage and compute and access to proprietary software toolboxes and libraries.

Funding

Funded by: EPSRC
EPSRC Industrial CASE Studentship - This UKRI studentship is fully funded and includes a 4 years stipend (set at £19,668 for 2022/23) and fees at the home level.

Eligibility

  • The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
  • If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of 6.0 in Writing and 5.5 in all sections (Reading, Listening, Speaking).
  • Candidates are expected to start in September (Semester 1).
  • SEMS and Principal-funded studentships: this studentship arrangement covers home tuition fees and provides an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)
  • Note that Queen Mary Research Studentships cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)
  • Overseas applicants would be required to meet the difference between home and international tuition fees

Contact

For informal enquiries about this opportunity, please contact Jun CHEN.

Apply

Start an application for this studentship and for entry onto the PhD Aerospace Engineering full-time programme (Semester 1 / September start):

Apply Now »

Please be sure to quote the reference "SEMS-PHD-525" to associate your application with this studentship opportunity.

Keywords:Artificial Intelligence, Data Science, Human Computer Interaction, Aerospace Engineering, Mathematical Modelling, Operational Research