Computational Ethnographer in Urban Mobility

2 days ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU Management Full time

We are looking for a highly motivated PhD candidate to join our research team at DTU Management. As a PhD student, you will focus on developing computational ethnographic methods to improve urban mobility and reduce emissions.

Project Objectives

The MOVEO project aims to achieve the following objectives:

  • Develop a scalable intelligent framework for transport infrastructure and services
  • Improve urban mobility and reduce emissions
  • Enhance safety, accessibility, and inclusiveness in transport systems

You will be based at the Department of Technology, Management and Economics and affiliated with the EchoLab and DTU Skylab. Your supervisor will be Brit Ross Winthereik and Anders Kristian Munk.

Deliverables

You will deliver the following outputs:

  • A comprehensive literature review on computational ethnographic methods
  • A case study on the application of computational ethnographic methods in urban mobility
  • A set of recommendations for policymakers and practitioners on improving urban mobility

To be eligible for this position, you must have a two-year master's degree or a similar degree with an academic level equivalent to a two-year master's degree. You should also have experience with qualitative methods, preferably ethnographic fieldwork and computational data analysis.



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