Jobid=619630044881563551 (0.0199)
ph3PhD Position eXtended Reality for Inclusive Automated Vehicle Interaction /h3 pAutomated Vehicles (AVs) are set to transform road travel, promising significant improvements in road safety, accessibility, and transportation equity. /p h3Job description /h3 pAs 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. /p pThe PhD candidate will focus on employing Virtual Reality technologies to understand this complex interaction process and explore how external Human‑Machine Interfaces (eHMIs) can enable safer and more inclusive interactions. The PhD position will be based in the Mobility in eXtended Reality Lab at the Department of Transport Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology. /p h3Job requirements /h3 ul liDevelop a theoretical framework for identifying key characteristics of AV–VRU interactions and define design criteria for inclusive eHMIs. /li liDevelop accessible VR simulators for people with disabilities. /li liConduct VR experiments to collect data and model decision‑making processes in AV–VRU interactions. /li liConduct real‑world testing to evaluate the effectiveness of inclusive eHMI design. /li liCollaborate closely with other PhD researchers on related projects and relevant topics. /li /ul h3Your Profile /h3 ul liMaster’s degree in a relevant field (e.g., human‑computer interaction, transportation, mechanical engineering, or related disciplines). /li liA solid background and strong interest in VR technologies and skills in developing XR applications using Unity/Unreal game engine. /li liStrong and demonstrable experimental skills, including experiment design, experiment setup, conducting experiments, and data collection. /li liStrong analytic and programming skills (e.g., Python, C#) with proficiency in statistics. /li liStrong skills in qualitative and quantitative analysis. /li liGood communication and writing skills in English. /li liAn 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. /li liPrior research and work experience that are relevant to this PhD position is a bonus. /li /ul h3Conditions of employment /h3 pDoctoral candidates will be offered a 4‑year period of employment in principle, but in the form of two 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. /p pRelocation to the Netherlands: TU Delft is committed to make your move as smooth as possible. The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation and, in addition, organise events to help you settle in the Netherlands and expand your social network. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. /p h3Salary and benefits /h3 pSalary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 – €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end‑of‑year bonus of 8.3%. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. /p /p #J-18808-Ljbffr
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