PhD Position eXtended Reality for Inclusive Automated Vehicle Interaction

Delft University of Technology; Delft; On-site; EUR 32,000 - 42,000; Full time

Job summary

Delft University of Technology invites applications for a PhD position in the Mobility in eXtended Reality Lab to study inclusive interactions between automated vehicles and vulnerable road users using VR/XR technologies.

The project will develop accessible VR simulators, design inclusive eHMIs, run VR experiments, and validate findings with real-world testing, aiming for high-impact journal publications.

Qualifications

• Master’s degree in a relevant field (e.g., Human-Computer Interaction, Transportation, Computer Science, or a closely related discipline).
• Solid background and strong interest in VR technologies and skills in developing XR applications using Unity/Unreal game engine.
• Strong and demonstrable experimental skills, including experiment design, experiment setup, conducting experiments, and data collection.
• Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics.
• Strong skills in qualitative and quantitative analysis.
• Good communication and writing skills in English.

Responsibilities

• Design accessible VR simulators for people with disabilities.
• Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions.
• Publish in high-impact scientific journals and disseminate findings through conferences and stakeholder workshops.
• Collaborate closely with other PhD researchers on related projects and relevant topics.
• Conduct real-world testing to evaluate the effectiveness of inclusive eHMI design.

Skills

VR technologies

Unity/Unreal

Experiment design

Python

C#

English writing

Education

Master’s degree in Human-Computer Interaction, Transportation, Computer Science

Tools

Unity

Unreal Engine

Job description

Help design the next generation of inclusive interactions between automated vehicles and vulnerable road users using Virtual Reality and eXtended Reality.

Job description

Automated Vehicles (AVs) are set to transform road travel, promising significant improvements in road safety, accessibility, and transportation equity. However, as autonomous vehicles move closer to widespread deployment, a critical question remains largely unanswered: how can AVs interact safely and effectively with vulnerable road users (VRUs), including people with disabilities?

Such interactions involve complex human decision-making processes that span behavioral, cognitive, psychological, and physiological dimensions. To date, these dimensions have largely been studied in isolation, leaving their interconnections and their role in real-world AV–VRU interactions poorly understood.

In this PhD role you will focus on employing Virtual Reality technologies to better understand this complex interaction process and explore how external Human-Machine Interfaces (eHMIs) can enable safer and more inclusive interactions.

You will:

• Develop a theoretical framework for identifying key characteristics of AV–VRU interactions and define design criteria for inclusive eHMIs.
• Design accessible VR simulators for people with disabilities.
• Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions.
• Conduct real-world testing to evaluate the effectiveness of inclusive eHMI design.
• Collaborate closely with other PhD researchers on related projects and relevant topics.
• Publish in high-impact scientific journals and disseminate 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

Need to Have

• Master’s degree in a relevant field (e.g., Human-Computer Interaction, Transportation, Computer Science, or a closely related discipline).
• A solid background and strong interest in VR technologies and skills in developing XR applications using Unity/Unreal game engine.
• Strong and demonstrable experimental skills, including experiment design, experiment setup, conducting experiments, and data collection.
• Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics.
• Strong skills in qualitative and quantitative analysis.
• Good communication and writing skills in English.

Nice to Have

• An open-minded personality with a curiosity-driven mindset, positive attitude towards methodological and interdisciplinary research, and willingness to learn from different fields, including transportation, human-computer interaction, and design.
• Prior research and work experience that are relevant to this PhD position is a bonus.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means joining an international community of professionals and students.

Faculty of Civil Engineering and Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go/no go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.