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Mathematician / Physicist / Radar engineer (f/m), Researcher in Traffic and Transportation

German Aerospace Center (DLR). Neustrelitz, 21.02.2018

Start your mission with DLR

The German Aerospace Center (DLR) is the national aeronautics and space research centre and the space agency of the Federal Republic of Germany. Here, 8000 employees work together on a unique variety of topics in the fields of aeronautics, space, energy, transport, digitalisation and security. Their missions range from basic research to the development of innovative applications and products for tomorrow. Cutting-edge research requires excellent minds - particularly more females - at all levels, who fully achieve their potential in an inspiring environment. Launch your mission with us.
For our institute of communication and navigation in Neustrelitz, we wish to recruit a qualified

Mathematician, Physicist, Radar engineer, Researcher in traffic and Transportation

Research in the field of resilient navigation of ships with distributed sensor fusion
Your mission:
At the institute of communication and navigation of the German Aerospace Center (DLR) at the location of Neustrelitz we develop new technologies for performant navigation of ships. We want to extend our team of researchers, who tackle challenging topics in the field of maritime traffic assessment. The primary goal of the team is the provision of an unambiguous description of the traffic situation using cooperative traffic assessment. In order to achieve the above goal, the team uses data and information from the automatic identification system (AIS), from the navigational sensors of the vessel and from the maritime radar. Insofar, the current research activities of the team is focused on answering the question of which object tracking procedure is able to reliably track maritime targets in extreme conditions (multiple targets, cluttering).
Your main tasks are:
  • research in the field of cooperative maritime traffic assessment
  • research in the field of maritime big data analysis / machine learning
  • development of algorithms and methods to fuse distributed sensors
  • development of software in a c++ real time framework
  • planning and execution of measurement campaigns, simulation campaigns and experiments in general as well as validation of the results
  • documentation of all research in technical documents and journal paper publications as well as presentation at national and international conferences
  • working in national and international projects
Your qualifications:
  • finished study of math, physics, traffic and transportation, radar engineering, electrical engineering or similar (Master)
  • several years’ work experience in communications and navigation
  • expert in data analysis and algorithm development
  • good knowledge in programming in python/matlab and c++
  • expert on sensor fusion technologies with AIS and Radar
  • knowledge of the operating systems Windows and Linux
  • very good English skills (speaking and writing)
  • good German skills (speaking and writing)
  • very good analytical skills
  • ability to work in international teams
  • expert in maritime big data analysis to be advantageous
  • PhD in one of the following topics to be beneficial: big data analysis, physics or electrical engineering
  • long term experience in project acquisition and project work to be advantageous
  • long term experience in writing international peer reviewed journal publications and conference proceedings is a plus
Your benefits:
DLR is an employer that values your commitment and promotes your professional and personal growth through a range of qualification and training opportunities. Our unique working environment offers our employees a great deal of freedom and an incomparable infrastructure, in which you will be able to fulfil your mission.
Our human resources policy puts great value on a healthy work-life balance as well as equal opportunities for men and women. Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
If you have any questions concerning specific aspects of the job, please contact Frank Heymann by calling +49 3981 480-217. Please find further information on this vacancy with the reference number 15619, and details regarding the application procedure, at