Scholarship details

Study levels

Research and PhD

Student type

Future students

Study area

Health and Science

Citizenship

Australian or New Zealand and International

Application dates

Applications close
31 March 2024

What you'll receive

You'll receive a stipend scholarship of $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.

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.

Eligibility

To apply for this scholarship, you must meet the entry requirements for a QUT Doctor of Philosophy, including any English language requirements.

The essential criteria for the scholarship include:

  • enrolling as a full-time, internal student
  • have an honours or masters degree in one of these areas:
    • robotics
    • computer science
    • other related discipline.

How to apply

Apply for this scholarship at the same time you apply for admission to a QUT research degree / Doctor of Philosophy.

The first step is to email Professor Michael Milford detailing your academic and research background, your motivation to research in this field and interest in this scholarship and include your CV.

If supported to apply, you will then submit an Expression of Interest (EOI) following the advice at How to apply for a research degree. In your EOI, nominate Professor Michael Milford as your proposed principal supervisor and copy the link to this scholarship website into question 2 of the financial details section.

About the scholarship

We are seeking a talented and innovative individual to join the Empathic Machines project as a robotics PhD researcher. This interdisciplinary research project, conducted in collaboration with Queensland University of Technology (QUT) and Seeing Machines, aims to explore the concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of human-automation cooperation and decision-making in advanced driving systems, leveraging driver monitoring systems (DMS) data.

Responsibilities

  • Conduct an extensive review of literature on human-automation cooperation and decision-making in the context of autonomous driving
  • collaborate with interdisciplinary research teams from QUT and Seeing Machines to integrate findings from other PhD projects into the broader research objectives
  • investigate the use of DMS data to enhance decision-making capabilities of advanced driving systems
  • develop algorithms and methodologies for utilizing DMS data to improve human-automation cooperation and decision-making in real-time driving scenarios
  • design and implement experiments involving human participants and autonomous systems to evaluate the effectiveness of different cooperation strategies
  • analyze experimental data to derive insights into the impact of driver engagement and situation awareness on human-automation cooperation
  • collaborate with industry partner Seeing Machines to gain insights into driver monitoring systems and leverage their expertise in automation decision-making
  • 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
  • contribute to the preparation of research reports, project documentation, and funding proposals
  • engage in regular progress reporting and participate in supervision and mentoring activities.

Qualifications and Skills

  • A masters degree (or equivalent) in robotics, computer science or a related discipline
  • strong research background in robotics, human-robot interaction or a relevant field
  • proficiency in programming languages such as Python, C++, or similar, for algorithm development and implementation
  • experience in developing robotic systems and implementing control algorithms is desirable
  • knowledge of human-automation interaction, decision-making and advanced driving systems is advantageous
  • strong analytical and problem-solving skills, with the ability to design and conduct experiments involving human participants
  • 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
  • demonstrated publication record (or potential) in peer-reviewed conferences or journals is advantageous.

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