Management position, Scientific activities / projects

Group leader Traffic Situation Systems

Starting date


Duration of contract

3 years with the option of extension


up to the German TVöD 14

Type of employment

Full-time (part-time possible)

Join us in shaping the future of maritime transport and inland waterway navigation and contribute to bring autonomously acting ships in reality in cooperatively networked systems.
In the Nautical Systems Department of the Institute of Communications and Navigation of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR), scientists and technical engineers have been developing and testing new procedures and technologies for land-based and on-board assistance in ship navigation for more than 10 years.
As group leader of the working group "Traffic Position Systems", your work focuses on the fusion and evaluation of data from different sensors and sources of moving objects in navigation. In the medium term, this should enable the derivation of a clear and reliable traffic situation picture in the sense of networked cooperative systems.
Together with your colleagues, you will conduct your own research primarily in the areas of machine learning (e.g. for object recognition or anomaly detection) and in the area of artificial intelligence (pattern analysis / recognition and decision-making under uncertainty). Your results will mainly be applied in the maritime sector, but you will also deal with cross-modal (intermodal) approaches in cooperation with other DLR institutes and specialized departments. In this context, you will also be responsible for the project management of the joint project "FuturePorts" in the DLR research area "Transport".

Your tasks can be described as follows: 

  • leadership and further content development of the working group "Traffic Situation Systems", which performs research and development work within the framework of the programmatic thematic fields "Maritime Traffic Management" and "Civil maritime safety and security”
  • carrying out scientific research activities in the field of maritime traffic situation detection and assessment, with a clear focus on the development of algorithms for cooperative and network-based traffic situation detection using methods from the fields of ML and AI.
  • publication of the achieved results on a national and international level 
  • project management
  • project acquisition

You will work independently on the above-mentioned tasks and coordinate with the department management on strategic decisions.

We offer you an interesting working environment and place and give you the freedom and opportunities to pursue your own ideas and drive forward new research topics. Be an important part of our creative international team and let us work and research together on the future of the maritime transport.

Your qualifications:

  • completed scientific university studies (master's degree/diploma) in one of the fields of physics, electrical engineering, mathematics, engineering sciences, transport sciences or comparable fields.
  • professional experience in the field of data fusion-based algorithms and/or machine learning methods or special knowledge in this field acquired in the context of a doctorate.
  • demonstrable scientific achievements (publications) in the field of machine learning or in the field of artificial intelligence in general
  • knowledge of software development (e.g. under C++, Python)
  • understanding of complex interrelationships and analytical approach
  • willingness to travel (nationally/internationally)
  • experience in leading teams or employees / social competence
  • ability to think and work in an interdisciplinary manner and willingness to work in a team
  • experience in project management
  • experience in project acquisition
  • business fluent in written and spoken English
  • very good written and spoken German
  • high willingness to familiarise yourself with new application areas and technologies
  • understanding of complex interrelationships and analytical approach
  • passion for innovative research as well as a scientific and systematic way of working
  • experience in the design and operation of databases is advantageous
  • at best, you have experience with classical methods such as support vector machines (SVM)
  • ideally, you have relevant experience in computer vision (especially knowledge of program libraries such as OpenCV) or in machine learning methods (Deep Neural Networks)

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 unparalleled 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 (f/m/x). 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

Dr.rer.nat. Ralf Ziebold
Institute of Communications and Navigation

Phone: +49 3981 480-195

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Vacancy 75407

HR department Berlin

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DLR site Neustrelitz

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DLR Institute of Communications and Navigation

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