Data Scientist Position in Urban Mobility Research
3 days ago
The DTU Management department invites applications for a PhD position in the field of urban mobility research. 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 project aims to map and analyse how mobility cultures vary across Europe and how they evolve over time in response to policy and technological changes. The researcher will be responsible for collecting large public datasets, designing micro-surveys for large-scale deployment in multiple cities, and employing state-of-the-art machine learning methods to analyse high-dimensional data.
The position involves conducting research, presenting findings at scientific conferences, writing research articles, participating in PhD courses, and gaining experience in teaching and knowledge dissemination. The successful candidate will also have the opportunity to influence the project and develop new project ideas within the project frame.
- Responsibilities:
- Explore, develop and evaluate different machine-learning methods for defining urban mobility culture typologies
- Big Data analysis and visualizations
- Collect public data at the urban level for cities across Europe on socio-, economic-, demographic- and mobility-related indicators
- Design and support the collection and analyse large scale micro-survey data
- Analysis how different mobility cultures may vary in time, space and populations, predicting or being influenced by specific policies
- Write academic papers aimed at high-impact journals
- Participate in international conferences and workshops
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