Saturday, December 16, 2017

[Mycolleagues] PhD studentships in Mathematical Models and Algorithms for Allocating Scarce Airport Resources

Subject: [Mycolleagues] PhD studentships in Mathematical Models and Algorithms for Allocating Scarce Airport Resources
http://www.eecs.qmul.ac.uk/phd/research-topics/funded#phd-studentships-in-mathematical-models-and-algorithms-for-allocating-scarc

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/apply) by selecting 'Computer Science in the 'A-Z list of research opportunities' and following the instructions on the right-hand side of the web page. Please note that instead of the 'Research Proposal' we request a 'Statement of Research Interests'. Your statement (no more than 500 words) should answer two questions: (i) Why are you interested in the topic described above? (ii) What relevant experience do you have? In addition, we would also like you to send a sample of your written work. This might be a chapter of your dissertation, or a published paper. More details can be found at: http://www.eecs.qmul.ac.uk/phd/apply.php

For further information, please contact: Professor Edmund Burke (se-vp-pa@qmul.ac.uk)

Closing date for receipt of applications: 31 December 2017. Interviews expected early January 2018.

Starting date: 01 February 2018