Yan Feng
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2 months ago
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Two Fully Funded PhD Positions in Extended Reality and Data/AI for Micromobility Safety at Delft University of Technology Delft University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Two fully funded PhD candidates are being recruited as part of the EU-funded SAFE-MOVE project.
Deadline
Jul 19, 2026
Country
Netherlands
University
Delft University of Technology

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About this position
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.
Funding details
Two fully funded PhD candidates are being recruited as part of the EU-funded SAFE-MOVE project.
What's required
Applicants should be interested in interdisciplinary research on extended reality, traffic simulation, wearable sensing, multimodal data integration, AI-driven analytics, and safe active/micromobility. The post implies candidates will conduct human-centred experiments and work in an international research environment; no specific degree, GPA, or language-test requirements are stated in the post text provided.
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