PhD scholarship in Modelling of Bicyclist´s Behaviour

Thursday 17 Oct 19

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DTU Management at the Technical University of Denmark invites applications for a 3-year PhD position in the Network Modelling group in the Transport division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts research and teaching in the field of traffic and transport planning and appraisal, with particular focus on behaviour modelling, network modelling, machine learning and simulation, transport economics and safety.

The topic of the project concerns behavioral modelling of bicyclists in the transport network with particular focus on long-distance and e-bicyclists preferences. Cities all over the world are currently investing in bicycle infrastructure. However, bicyclists are generally under-prioritized or completely overlooked in strategic transport models used in city-level mobility planning, which makes it difficult to prioritize funding for bicycle transport and adapt the network to different types of bicycle users. This project seeks to improve the methodological progress, digital networks and real-life observations relevant for the modelling of bicyclists as this is far from as developed as other transport modes, e.g. cars and public transport.

Responsibilities and tasks
The aim of the project is to develop state-of-the-art behavioral realistic route choice models for bicyclists, which at a detailed level takes into account both network characteristics, individual characteristics and bicycle type as well as temporal variations such as weather and bicyclists stress level (e.g. from congestion).

The project is part of a larger project regarding cyclist’s behavior with focus on long-distance trips and e-bikes including also Israel Institute of Technology (Technion). The candidate will work closely together with the supervisory team and researches from Technion and will be take part in both data collection, preparation of digital road network characteristics, methodological development, modeling preparations such as alternative generation and in developing the final models.

During the project, we will give methodological contributions within digital network preparation, passive and active data collections, model preparation and by formulating a disaggregate theoretically well-explained model for bicyclists behavior. Specifically, the tasks for the candidate and the supervisory team include:
  • Preparation of digital network characteristics, primarily GIS data for Tel-Aviv and Copenhagen which will serve as main digital infrastructure for the processing, analysis and modelling of cycling routes
  • Collection of new long-distance and e-cycling data in Tel-Aviv and Copenhagen by using an application developed within the project and post processing of these data.
  • Quantitative data analyses to model the effects of both network specific and individual specific factors on the bicyclist’s route choice with particular focus on individual characteristics and differences between short and long distance trips and conventional and e-bike users.
  • Analyse and model how improved bicycle facilities may change mode choice and travel behavior in general
  • Prepare manuscripts for high level journal publication
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. The degree should be within Transportation Modelling, Applied Mathematics and Statistics, Data Science, Behavioural Studies, or related;
  • Excellent background in statistics and probabilities is required
  • Skills in geoprocessing tools, e.g. ArcMap is preferedExcellent programming/data management capabilities are preferable, e.g. in SAS, R or Python.
  • Transportation modelling disciplines in the education background are preferable
The following soft skills are also important: 
  • Good communication skills in English, both written and orally
  • Willingness to engage in group-work with a multi-national team
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide

The assessment of the applicants will be made by 1 January 2020.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about
career paths at DTU here.  

Further information
Further information may be obtained from Professor Otto Anker Nielsen,, or Associate Professor Anders Fjendbo Jensen  

You can read more about DTU Management at

Please submit your online application no later than 1 December 2019 (local time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:  
  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
Candidates may apply prior to obtaining their master's degree but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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