max 6 months
up to German TVöD 5 (to be discussed)
Full-time (part-time possible)
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
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development.
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Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
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Air Transportation Systems
Phone: +49 531 295-3830