Yan Feng

Delft University of Technology is recruiting two fully funded PhD candidates for the EU-funded SAFE-MOVE project in the area of safe and active mobility and micromobility safety analytics . PhD Position 1: Extended Reality for Safe and Active Mobility This project focuses on developing immersive XR environments, integrating traffic simulation and wearable sensing , running human-centred experiments , and studying how pedestrians, cyclists, and micromobility users interact in complex urban environments. PhD Position 2: Data and AI for Multi-Source Micromobility Safety Analytics This project aims to integrate multimodal data and apply AI-driven analytics to understand where and why micromobility risks emerge. The work includes building interpretable models that connect infrastructure and behaviour to support safer street design, traffic management, and mobility policy. The positions are based in the Transport & Planning group at TU Delft and involve collaboration with Serge Hoogendoorn , Winnie Daamen , and Marjan Hagenzieker . The research environment is interdisciplinary and international, with collaborators across Europe. Funding: both PhD positions are fully funded. Deadline: 19 July 2026. These openings are especially relevant for candidates with interests in computer science , civil engineering , urban planning , statistics , psychology , electrical engineering , and mobility research.

Delft University of Technology is offering a PhD position focused on the application of eXtended reality (XR) for city logistics and urban mobility systems. The successful candidate will join the Mobility in eXtended Reality Lab, led by Assistant Professor Yan Feng. The research involves developing immersive VR/AR applications to test mobility interventions in European pilot sites, designing and running behavioral, cognitive, and physiological experiments to understand responses to new urban designs, and integrating citizen perspectives and inclusivity into mobility design through novel XR methods. Applicants should have a Master’s degree in computer science, human–computer interaction, traffic engineering, or a related field, with strong XR development experience (Unity/Unreal), experimental design, and analytical skills. The position encourages interdisciplinary thinking and teamwork. Funding details are not specified in the post; candidates are advised to consult the official application link for more information. Interested individuals should apply via the TU Delft careers portal.