Scientific activities / projects

Development of methods for data management in the application field of intelligent mobility solutions

Starting date

1 April 2023

Duration of contract

2 years


up to the German TVöD 13

Type of employment

Full-time (part-time possible)

The Institute of Transporation Systems develops solutions for user-oriented assistance and automated systems, operates a transportation data platform and analyses geodata for the creation and extension of the knowledge base. The systems implemented in this context are evaluated in simulations, in test fields or in real roads and railway tracks.

The operation of data management system for the acquisition, administration and provision of data is an essential building block for several projects carried out in the Institute. Through the wide research work, diverse data is generated, which must be correctly stored in data structures in order to be correlated later. This includes not only the data collected in the Institute, but also datasets from open data portals which are available for free.  The data types include different road and railway networks, infrastructure elements, measurement data, weather data, trajectories and timetables.

The DLR Institute of Transportation Systems is extensively involved in the GAIA-X research initiative funded by the Federal Ministry of Economics and Technology, in which the future-oriented data and service landscape GAIA-X is being developed. In addition to many economic sectors and industries, this also includes the mobility area, so that the Institute for Transportation Systems located in Braunschweig and Berlin is involved in its research and implementation. The institute is helping to shape large parts of the future of networked mobility in digital traffic. Help us to master the complexity of traffic systems and their increasing digitization, and be part of this creative process!

New, fully integrated transportation systems and system networks consisting of infrastructure, vehicle and passenger are emerging, which have so far been isolated and mostly act independently of each other. DLR is working on closing this gap, making traffic better and, above all, safer.

For the further development and integration of the data management systems developed in the institute, a computer scientist with profound experience in the field of data engineering and databases is wanted. An interest in distributed systems and the development of complex system architectures is preferable. The tasks include the enhancement and development of various data models in the areas of digital maps, measurement data and traffic data. They also include validation and extraction of metrics from the above data domains and enhancement of data management systems.


  • development and/or extension of existing complex database schemas, file exchange formats and software interfaces
  • conception and development of methods and tools in the area of Research Data Management (RDM) focusing on enhancing the handling of research data 
  • conception and migration of existing data management systems into a integrated multimodal transportation management system
  • development of methods for the management of complex and heterogeneous datasets in the fields of big data and smart data
  • conception and development of methods and processes for the semantic and syntactical validation of research data sets
  • conception and development of methods and processes for the extraction of metrics from research data sets
  • evaluation of existing domain-specific metrics and the definition of new application-specific metrics
  • assistence in the management of data management systems
  • management of (sub-) projects
  • publish research activities and results

Your qualifications:

  • scientific academic studies (diploma, master's degree) in the field of computer science, or equivalent
  • experience in the field of data engineering, particularly in the modelling of data structures
  • experience in working with relational databases, such as Oracle or PostgreSQL
  • knowledge and experience in the field of software interfaces, for example, REST or SOAP
  • knowledge in the field of data engineering, in particular in the field of extracting metrics from research data sets and in the validation of spatial and measurement data
  • secure handling of Linux/Unix and Windows operational systems
  • programming knowledge, particularly in Java and/or Python
  • fluent in German and English, spoken and written
  • experience in the conception of complex system architectures is an advantage
  • knowledge in handling standardised interfaces such as OGC WFS, OGC SOS and standardised exchange formats such as RailML, OpenDRIVE, OGC SensorML and OGC O&M is an advantage
  • knowledge in the area of processing big datasets using frameworks such as Apache Hadoop, Apache Kafka, Apache Spark or Apache Flink is an advantage

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

Lucas Andreas Schubert
Institute of Transportation Systems

Phone: +49 531 295-2905

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Vacancy 78000

HR department Berlin

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DLR site Berlin

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DLR Institute of Transportation Systems

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