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# Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction

- **Company:** TU Delft
- **Location:** Delft, Netherlands
- **Salary:** €3,546.0 - €5,538.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, C Sharp (Programming Language), Computer Programming, Game Engine, Human-Computer Interaction, Python (Programming Language), Information Technology, Data Analytics
- **Published:** July 19, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=1e7b0bf5eaf8d9df

## About the Role

closely related discipline, Solid background in XR technologies and skills in developing XR applications using Unity/Unreal game engine. Strong and demonstrable experimental skills, including experiment design, setup, execution, and data collection. Strong skills in quantitative and qualitative data analysis. Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics. Ability to work independently while actively contributing to a collaborative, interdisciplinary research environment. Excellent writing and communication skills in English. Strong publication record in relevant scientific journals. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and

## Description

effectiveness of inclusive eHMI design. Collaborate with fellow researchers, mentor PhD students, and contribute to ongoing projects and the development of the lab. Publish in high-impact scientific journals and disseminating findings through conferences and stakeholder workshops. Your home base will be the Mobility in eXtended Reality Lab in the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. Our diverse team of researchers, project managers, and professors shares the ambition to create smart, sustainable, and equitable mobility systems. In our 12 collaborative labs we apply advanced technologies such as sensing, data analytics, modelling, and AI to turn scientific research into real-world impact. You'll join an open, supportive environment that fosters learning and professional growth. Job requirements Hold a, PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a


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