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Research Data Scientist

3 weeks ago

Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU Management Full time
Job Description:

The Transportation Science Division at the Technical University of Denmark (DTU) invites applications for a 3-year PhD position in the field of Social Data Science and Machine Learning. The successful candidate will join the Intelligent Transportation Systems Section and work under the supervision of Associate Professor Carlos Lima Azevedo and Professor Sonja Haustein.

The PhD project aims to map and analyze how mobility cultures vary across Europe and how they evolve over time in response to policy and technological changes. This requires exploring different machine-learning methods for defining urban mobility culture typologies, big data analysis and visualizations, and collecting public data at the urban level for cities across Europe.

The PhD student will be responsible for designing and supporting the collection and analysis of large-scale micro-survey data, as well as writing academic papers aimed at high-impact journals and participating in international conferences and workshops.

We are looking for an ambitious and self-organized individual with strong project management and communication skills, proficient English language skills, and the ability to work both independently and as part of a team.