Course paper / final thesis

Interdisciplinary data analysis of ATM network dynamics

Starting date


Duration of contract

max 6 months


up to German TVöD 5 (to be discussed)

Type of employment

Full-time (part-time possible)

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Your mission:

DLR - Air Transportation Systems is looking for master students (preferably studying in Hamburg) who are willing to join the researches on air traffic flow management (ATFM) topics. Interdisciplinary data analysis of ATM network dynamics, Compared to other means of transportation, air transportation is considered to be unique regarding precision and types of available datasets. This enables the definition of models that can capture and reproduce spatiotemporal traffic scenarios. Based on industrial needs, datasets are generated from various sources and are updated at different rates.

Together with DLR, the institute of air transportation systems is studying such datasets to improve air traffic flow management (ATFM). ATFM includes different types of regulations to accommodate the traffic in a safe and efficient mode. Apart from logical dependencies between traffic patterns and time of day, the aim of this study is to understand ATM network behavior for better short term (Tactical) predictions over upcoming network state.

In other words this interdisciplinary topic is set to investigate possible correlations between ATFM regulation types and time of day. The study is regarded as interdisciplinary since the approach is based on analytical tools of dynamic data and time series which are more common in geosciences. This master thesis will be supported by our ATFM team to build on previous results through the following steps

  • Literature Review on ATFM, and time series
  • Introduction to data structure and related terminology
  • Modeling based on Short-range and long-range persistence
  • Software implementation (MATLAB or Python)
  • Model validation and presentation of results
  • Discussion of future work and documentation

Your qualifications:

  • Studies in Air Transportation & Traffic Eng. / Industrial Eng. /Mathematics etc.
  • Motivation and ability to work independently and collaboratively
  • Programming skills (preferably MATLAB or Python)
  • Knowledge sharing and Reporting abilities
  • High working knowledge of English
  • Good academic records
  • Background in ATM

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Rasoul Sanaei
Air Transportation Systems

Phone: +49 531 295-3830

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Vacancy 26414

HR department Köln

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DLR Hamburg

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DLR Institute of Air Transportation Systems

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