Industrial PhD Position: Disruption Solver for Airline Operation Control

Project-based
Stockholm-Sweden
Posted 1 month ago

Ph.D. Project to be done at KTH and Aviolinx in collaboration with Navblue – an AIRBUS company

KTH Royal Institute of Technology is represented by the division of optimization and systems theory at the department of Mathematics.

AVIOLINX provides software and services to the airline industry. Our focus is on developing innovative products and services designed specifically for the airline industry to optimize processes, reduce cost and increase revenue. Our flag ship product, N-RAIDO, is an Airline Management System that puts our customers in complete operational control of all strategic, financial and operations business processes throughout all stages of the airline operations including: Commercial planning, Flight operations, Crewing and post production analysis. AVIOLINX has a partnership with NAVBLUE. NAVBLUE, an Airbus Company, is a leading global provider of flight operations solutions which directly support millions of flights each year and help NAVBLUE’s airline customers maximize efficiency, reduce costs, ensure compliance with complex national and international safety regulations, and effectively deliver their services.

Project Description

Airline operation control involves the planning and coordination of the complex flows of aircraft, passengers and crew in airline operations. The airline industry is very competitive, and an optimized resource management is necessary to be profitable. However, it is not enough to make the schedule as efficient as possible, it should also be robust to disruptions in the operations. The disruptions could be unpredictable events such as bad weather, airport shutdowns, emergency maintenance, and in-disposable crew. These events cause immediate delays, and with a tight schedule they risk propagating through the planned flow. Delays, redirections, and cancelling of flights leads to a substantial increased cost for the flight operations and affect the customer satisfaction negatively. When a disruption occurs, it is essential that a recovery plan is formed as soon as possible so that it minimizes the propagation effects on the planned flow of aircraft, passengers and crew. Even finding a feasible flow, that satisfies the demands, is complicated, so to quickly minimize the cost of operations is very challenging and one of the main problems in the airline industry today. The online character of the problem makes it intriguing and specialized mathematical methods, algorithms and solvers must be developed to quickly respond to the disruptions.

What we offer

  • The chance to be with one foot in the academia and one foot in the industry, getting to be part of a dynamic international research environment and having direct collaboration with the industry.
  • To work in a competitive environment among professionals in the field of airline operations.
  • An established research environment in the applied and computational mathematics doctoral program at KTH.
  • Continuous support on the project from KTH, Aviolinx and Navblue
  • Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
  • Monthly salary and other benefits.
  • Start date: January 2020

Eligibility

Eligibility To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • Passed a degree at advanced level,
  • Completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • In any other way acquired within or outside the country acquired essentially equivalent knowledge.

The applicant’s degree at advanced level should be in mathematics or applied and computational mathematics in a broad sense. In addition, English proficiency in reading, writing, and speaking is required.

Selection

To succeed as a doctoral student on this project you need to be goal oriented and persevering in your work. In the selection of the applicants, the following assessment criteria will be used as:

  • Background in applied mathematics including mathematical optimization.
  • Programming skills.
  • Self-motivated.
  • Communication skills and English proficiency.
  • C# knowledge is a plus but not of highest importance

The successful applicant is expected to hold a MSc degree.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Target Degree

Doctoral Degree

Application

Application must be received no later than November 24, 2019.
Application must include:

  • CV including relevant experience
  • Application letter with a brief description of why you want to pursue industrial research studies, about your interest in aviation field and about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Contact Person

Alexandru Radu, Technical Lead

alexandru.radu@aviolinx.com

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