PhD – Green and safe routing for Cyclists – Netherlands

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.

Requirements

• A sound background in data analysis and operations research.
• You hold, or will shortly acquire, a Master’s degree in Civil Engineering, Industrial Engineering, Mechanical Engineering, Econometrics, Computer Science, or a related discipline.
• Sound programming skills for data analysis.
• Ability and passion for operating at the intersection of different fields
• Ambition and talent to accelerate in finding solutions for complex problems with a multidisciplinary character.
• Proficient in written and oral English (C1; above IELTS 7 or equivalent)
• You are able to design and execute your own research
• You have strong communication skills, and you are able to cooperate with relevant practitioners for the design and execution of your research
• Consequently, knowledge of, or willingness to learn Dutch is an advantage.

Benefits

• A four-year fulltime PhD position.
• A stimulating, modern research environment with world-class research facilities.
• Being part of a dedicated interdisciplinary and international team with which you will collaborate extensively
• Collaboration with (inter)national academic and industry partners
• A starting salary of 3.059 euro gross per month in the first year and increasing to 3.881 euro gross per month in the fourth year.
• An annual holiday allowance of 8% of the gross annual salary, and an annual year-end bonus of 8.3%.
• A solid pension scheme.
• Minimum of 29 leave days in case of full-time employment.
• We provide excellent mentorship and a stimulating research environment to accelerate your further professional and personal growth.
• The University of Twente is situated on a green and lively campus with lots of facilities for sports and other activities.

Organization/Company –University of Twente (UT).

Research field – Computer science » Programming

Research profile – First Stage Researcher (R1).

Country –Netherlands.

Application Deadline – 3 Oct 2025 – 21:59 (UTC).

More information: Euraxess.

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