PhD studentships in Mathematical Models and Algorithms for Allocating Scarce Airport Resources
|Application closing date: 01/02/2018 |
Start date: 02/04/2018
Research group: Operational Research
|Duration: 3 years YearsFunding available|
The project, Mathematical models and algorithms for allocating scarce airport resources, aims to develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. We will seek to combine aspects of airport operations, air traffic flow management, and large-scale, deterministic, stochastic and dynamic optimization to develop and evaluate advanced models and exact, meta- and hyper-heuristic solution algorithms. Our ultimate goal is to develop decision support capabilities for airport capacity allocation and management.
The Programme represents a strong partnership between academia, the air transport industry and policy makers. Over the six years of the Programme, OR-MASTER will involve close collaboration with a host of international organisations that will support the project, providing real-world data, insights and expertise. Our partners are National Air Traffic Services (NATS) in the UK; Eurocontrol (managing air traffic across Europe); Park Air Systems; KLM Air France; Zurich Airport and Athens International Airport; the research organisations linked to the national air navigation services for Italy and Spain (SICTA and CRIDA); SESAR (Single European Sky research body); the Airport Services Association; Goldair Handling; ACI Europe (Airports Council International); the HALA! SESAR network of leading researchers in Europe working in the area of Air Traffic Management automation; NEXTOR II (National Centre of Excellence for Aviation Operations Research); the MIT International Centre for Air Transport Research (MIT-ICAT) in the USA; and DLR, the German Airspace Research Centre.
All nationalities are eligible to apply for this studentship. Applications are invited for a 3-year PhD Studentship at Queen Mary University of London. Students are normally expected to have a 2.1 or 1st class honours degree in Computer Science or Mathematics from a UK University or an equivalent standard from an overseas university. The successful candidate must have strong programming background, good analytical and communication skills. Furthermore, a good understanding of optimization techniques, heuristic and hyper-heuristic search is required. The student is expected to be a team player with the ability to work as part of a team and independently, and to prepare clear reports and research papers. The studentship will cover EU/Home fees or International fees. The post will be funded for 3 years.
To apply, please follow the on-line process (www.qmul.ac.uk/postgraduate/
For further information, please contact: Professor Edmund Burke (firstname.lastname@example.org)
Closing date for receipt of applications: 31 December 2017. Interviews expected early January 2018.
Starting date: 01 February 2018