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Scientific activities / projects, PhD position

Models of the observable mobility behaviour in traffic events

Starting date

1 October 2019

Duration of contract

3 Jahre

Remuneration

According to the German E13 TVöD

Type of employment

Part-time

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Mobility has a high priority in our society. People want to reach their destination safely, comfortably and quickly. Goods must be transported cost-effectively over short and long distances. The consequences of mobility can be seen in environmental pollution, accidents and traffic jams, which increase with the ever-growing volume of traffic. These are the challenges we face at the Institute of Transportation Systems. We develop solutions for the safe and efficient mobility of the future.

Most accidents are caused by the driver's misconduct. Assistance systems can therefore sustainably increase safety and efficiency in road traffic. In the automotive context, we investigate driver behavior, stress and accidents in order to derive requirements for driver assistance systems. Psychological and ergonomic findings are incorporated into the development of assistance functions within the context of DLR's entire technological background. They are implemented in such a way that they correspond to the skills and expectations of the driver. The implementation is checked in driving tests - in simulation and in real traffic.

The task of the holder of this position is to develop, apply and evaluate models of the observable mobility behaviour in traffic events, which describe normal driver behaviour with a special focus on interaction and cooperation, in order to derive specific requirements for concepts for interaction, cooperation and communication within new assistance and automation systems and functions. In these times of increasing automation, special focus is being placed upon differing automation levels in urban mixed traffic as well as upon the consideration of man-machine interfaces. The aim is to thereby further develop and apply specific methods which will enable the acquisition and analysis of naturalistic driver data, interaction and cooperation data and accident data from urban mobility areas. With the aid of the results, a building block for the definition of interaction and cooperation behaviour – and, thereby, observable, safe and efficient mobility in urban traffic areas – will be provided. Furthermore, the basis for a human-centred development of innovative assistance and automation systems will also be created.

For the development of methods and models for the acquisition, analysis and description of observable driving behaviour data, in particular the interaction, cooperation and communication in urban traffic areas as well as for the application and investigation of these within the framework of a German-Japanese research cooperation, an employee (50 %) with completed scientific university studies (diploma, M.Sc.) in psychology, human factors, cognitive sciences or related disciplines is being sought.

Your qualifications:

  • Completed scientific university studies in psychology, human factors, traffic and engineering psychology or cognitive sciences
  • Experience and participation in research projects as well as experience in the conducting of empirical studies
  • Experience in the elicitation and evaluation of behavioural and driver-performance data
  • Experience in scientific work, evaluation of empirical data and in the development of concepts for psychological models of driver behaviour
  • Knowledge of empirical research methodology and evaluation
  • Experience in working with interdisciplinary teams, ability to work in a team
  • Very good knowledge of English (spoken and written)
  • Sound knowledge of empirical research projects in the field of traffic and engineering psychology, human factors, cognitive sciences or comparable disciplines is a plus
  • Sound knowledge of empirical research methods, evaluation, data analysis and data mining is a plus
  • Knowledge of programming using scripting languages such as Python or in Matlab is a plus
  • Sound knowledge of the elicitation and statistical evaluation of behavioural and driver-performance data is aplus
  • Scientific publications and presentations at national and international conferences is a plus
  • Sound experience in working with interdisciplinary teams, ability to work in a Team is a plus 

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. 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 (m/f/non-binary). 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. Caroline Schießl
Institute of Transportation Systems

Phone: +49 531 295-3462

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Vacancy 42332

HR department Braunschweig

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DLR site Braunschweig

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DLR Institute of Transportation Systems

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