Research Associate

2 weeks ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU Management Full time
Unlock the Power of Data Science in Transportation Systems

We are seeking a highly skilled Research Associate to join our team at DTU Management. As a key member of our research group, you will be responsible for exploring the intersection of social data science and computer science in transportation systems.

Your primary tasks will include:

  • Machine Learning Methods Development: Design and evaluate different machine learning methods for defining urban mobility culture typologies
  • Data Analysis and Visualization: Conduct big data analysis and create visualizations to understand how mobility cultures vary across Europe and over time
  • Public Data Collection: Collect public data on socio-, economic-, demographic- and mobility-related indicators for cities across Europe
  • Micro-Survey Design and Analysis: Design and support the collection and analysis of large-scale micro-survey data

As a successful candidate, you will have a strong foundation in statistical analysis, working experience with machine learning, and proficiency in data visualization tools.

In this role, you will work closely with our interdisciplinary team to develop innovative solutions for sustainable mobility transitions in European cities.



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