Scientific activities / projects

Analysis of transport behavior using multicriteria procedures, discrete choice models and machine learning

Starting date


Duration of contract

2 years


according to German TVöD 13

Type of employment


Your mission:

The Institute for Transport Research deals with a wide range of questions concerning mobility and transport development. We are guided by the vision of modern, integrated and sustainable transport systems. The department "Mobility and Urban Development" focuses its research on the analysis of urban areas, which are characterized by a high traffic volume. We dedicate our research to the analysis of daily and long-term mobility decisions, transportation supply as well as residential location choice. To this end, we analyze mobility data and develop decision-making models within national and international projects.

You will support our multidisciplinary team "Modeling Urban Mobility" and help with the analysis and modeling of individual mobility decisions on the basis of empirical data. You will specifically be responsible for the specification and estimation of discrete choice models relying on real and hypothetical data collected in the context of Stated Preference experiments. These models address aspects like modal and destination choices as well as long-term mobility decisions. Furthermore, you are expected to deal with the opportunities offered by new unstructured or heterogeneous data (Big Data).

Your tasks include:

  • data collection, its post-processing, analysis and interpretation using statistical and econometric techniques
  • definition of data requirements and design of surveys and behavioral experiments (RP / SP experiments)
  • the development of new approaches to represent transport behavior in discrete choice models, in particular modal and destination choices as well as long-term mobility decisions
  • acquisition and analysis of the possibilities offered by new unstructured or heterogeneous data (Big Data)
  • acquisition of projects addressing transport behavior
  • documentation of project results and data analysis in the form of scientific publications and project reports
  • lead of national and international projects is desired

Your qualifications:

  • university degree (diploma/master) in transport engineering, transport economics or mathematics with solid statistical-econometric knowledge
  • experience with the analysis of empirical data using statistical software (such as R, STATA, SPSS) or special econometric tools (Biogeme, Limdep, NLogit) at professional Level
  • familiarity with regression analysis and the specification and estimation of discrete choice models
  • experience in working with travel behavior data and, ideally, with cross-sectional as well as with longitudinal or panel data
  • familiarity with survey designs as well as with the development of behavioral experiments to address transport behavior (SP-data)
  • good communication skills, very good English proficiency
  • confidence and familiarity in using standard office software

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. Reconciling family and working life as well as equal opportunities for women and men are an integral part of our HR policy. We therefore strongly encourage applications from women. Disabled applicants with equivalent qualifications will be given preferential treatment.

Technical contact

Daniel Krajzewicz
Institute of Transport Research

Phone: +49 30 67055-273

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Vacancy 09597

HR department Berlin

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DLR site Berlin

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DLR Institute of Transport Research

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