Master Projects

At this page, TUD students can find opportunities for doing their master thesis project at our lab. We are always looking for highly motivated students who want to work with us on the ongoing research directions. Note that slots for the supervision usually fill up quickly, especially in Q3.


The table below provides with research directions that would generally fit within CityAI Lab, and contact person.
Research direction Contact person
  • Bridging the gap between discrete choice and machine learning models for choice behaviour analysis.
  • Using stochastic gradient descent techniques to overcome local solutions when estimating latent class choice models.
  • Extending discrete choice models and theory with images.
  • Mapping liveability in the city (opportunities to work with/at municipality of Rotterdam)
  • Sander van Cranenburgh
  • Understanding the choice modeller's decisions and their impacts on modelling outcomes
  • Gabriel Nova