KEY TAKEAWAYS

• 
  Hours
  38 - 40 hr.
• 
  Salary indication
  Salary gross/monthly
  based on full-time
  € 3,059 - € 3,881
• 
  Deadline
  3 Oct 2025
  The rapid expansion of (peri-)urban areas across Europe presents a serious sustainability challenge. A modal shift towards cycling is required to achieve sustainable urban mobility, thereby reducing private car dependency, and improving health, air quality and noise pollution. In the project Green and safe routing, the challenge is to develop, validate and test a method that offers personalized, tailored travel and route advice in order to stimulate cycling.
  This four-year PhD project is part of Horizon Europe project Bio-Intel-Mob. The project focuses on integrating sustainable mobility and logistics with intelligent solutions for safe, smart, green, resilient, and inclusive cities, with pilot demonstrations in Rome, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes.

The PhD project will involve:

• The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc.). Therefore, various data sources including real-time traffic counts from inductive loop detectors, GPS traces, maintenance information and crowd-sourced data need to be combined.
• Learning personal mobility patterns, e.g., using space-time clustering techniques. Identify patterns based on observed travel behavior, and relate patterns to real-time and predicted travel conditions to recognize and predict events that may impact the trip of an individual.
• Developing a method for multi-objective, personalized (re)routing, i.e., generating routes and offering route suggestions based on mobility behavior, travel conditions, trip characteristics, and user preferences. Defined routes trade-off multiple criteria, where the exact importance of each objective is user dependent, and can be learned and improved over time based on previous choices and feedback.

Please refer the Job description for details