[visionlist] PhD position in human behaviour during automated driving

[Alex Black]

PhD position in understanding of human behaviour during automated driving

We are seeking a highly motivated and talented Vision Science and Human Factors PhD Researcher to join an interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and industry partner Seeing Machines-world leader in human-machine interaction and an industry leader in artificial intelligence (AI), that enable machines to see, understand and assist the people who are using them.

The project aims to advance the understanding of human behaviour during automated driving, with a strong focus on eye, gaze, and head tracking using Seeing Machines' optimised driver monitoring system technology. The new knowledge is expected to inform novel strategies that contribute to the safe introduction of Automated Vehicles.
Responsibilities:


  *   Design and develop novel techniques and interfaces for monitoring and assessing driver engagement in L2-L4 driving environments.
  *   Collaborate with interdisciplinary research teams from QUT and Seeing Machines to integrate findings from other PhD projects into the broader research objectives.
  *   Work closely with industry partner Seeing Machines to gain insights into driver monitoring systems and leverage their expertise in interface design.
  *   Conduct empirical studies to evaluate the effectiveness of different HMI designs in sharing attention between drivers and autonomous systems.
  *   Contribute to the development of guidelines and best practices for designing intuitive and effective HMIs in autonomous vehicles.
  *   Collaborate with other PhD researchers to support interdisciplinary learning and foster a cohesive research environment.
  *   Publish research findings in high-impact journals and present at relevant conferences and workshops.

Qualifications and Skills:


  *   A Master's degree (or equivalent) in Human-Computer Interaction, Human Factors, Cognitive Psychology, or a related discipline.
  *   Strong research background in HCI/HMI, interface design, cognitive psychology, or a relevant field.
  *   Strong analytical and problem-solving skills, with the ability to translate user insights into actionable design recommendations.
  *   Excellent communication skills, both written and verbal, for presenting research findings and collaborating with interdisciplinary teams.
  *   Ability to work independently and as part of a team, managing multiple tasks and priorities effectively.

Further details can be found at

https://www.qut.edu.au/study/fees-and-scholarships/scholarships/understanding-gaze-behaviour-during-real-world-automated-driving-phd-scholarship

You'll receive a stipend scholarship of AUD $30,000 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months (PhD) if approved for your candidature. This is the full-time, tax-free rate which will index annually. The PhD project is linked with industry partner Seeing Machines Pty Ltd, so you may be eligible to apply for a stipend top-up via the National Industry PhD Program<https://www.education.gov.au/university-research-commercialisation-package/national-industry-phd-program>.

If you're an international student, you will also receive a tuition fee sponsorship for your research degree.

As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field.

If you have any questions about the position, please get in touch with us directly (Alex Black aa.black at qut.edu.au<mailto:aa.black at qut.edu.au> or Joanne Wood j.wood at qut.edu.au<mailto:j.wood at qut.edu.au>).


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