Course paper / final thesis, Student placement, Internship

Analysis of experience sampling data of multimodal travel

Starting date

1 August 2022

Duration of contract

6 months


according to German TVöD

Type of employment

Full-time (part-time possible)

In order to make shared and intermodal transport more attractive, future mobilty services need to be designed towards the traveler's needs. Since these needs may vary per person and during the timecourse of a journey, methods for assesing and modeling the traveler's experience in real-time are desirable. In our research project, we develop real-time capable traveler models integrating data from different sources (such as contextual, physiological and subjective data). We are seeking a student supporting the data acquision and analysis within this project.

The specific task will entail:

  • experience sampling data collection of urban commuters
  • data preprocessing (artifact removal, feature extraction) from different sources (Electrocardiogram, subjective data,...)
  • statistical data analysis
  • scientific reporting of the results

Your qualifications:

  • interest in the topic of psychophysiological data and its use in mobility solutions
  • experience in or willingness to learn data analysis in (preferably) R or Python
  • awareness of the challenges that time series data and physiological data bring with them
  • ability to work independently

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

Esther Bosch
Institute of Transportation Systems

Phone: +49 531 295-2793

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Vacancy 68062

HR department Braunschweig

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DLR site Braunschweig

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DLR Institute of Transportation Systems

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