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Augmented Human Operations: Using XR and AI in Remote Challenging Environments

This project is closed.

Project summary

Program
PhD
Location
St Lucia
Research area
Information and computing sciences

Project description

The context

Join our focused PhD research program with UQ, CSIRO and Raytracer, dedicated to advancing Augmented Human Operation through Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Extended Reality (XR). Aligned with Raytracer's mission to enable safe and effective work in challenging and remote environments, this program specifically targets the enhancement of human capabilities using XR and AI technologies. You will work on projects such as CARBON, Raytracer's command and control platform designed for space and remote operations, and Titan Lake, Raytracer's innovative underwater VR simulation technology for astronaut training. This project aims to augment human performance and decision-making in critical missions both on Earth and in space. 

What you will do

The PhD candidate will be involved in developing and testing technologies that enhance human-machine interaction and collaboration in extreme conditions. The research will include one or more of the following activities: designing immersive, interactive AI systems that support real-time decision-making, developing XR interfaces that improve situational awareness and control, and creating digital twin solutions for remote monitoring and management of critical machines. This research project will allow you to develop a strong expertise in augmenting human operations, directly contributing to advancements in exploration and remote work efficiency.

Research environment

You will be based in the Human-Centred Computing group at UQ (St Lucia, Brisbane), an internationally-leading research group in Extended Reality and Human-Computer Interaction. The project also involves a placement for 6 months (or equivalent total duration) with Raytracer in Brisbane.

Scholarship

This project is supported by the Research project scholarship.

This scholarship includes:

  • living stipend of $42,483 per annum, indexed annually
  • tuition fees covered.

This scholarship includes:

  • living stipend of $42,483 per annum, indexed annually
  • tuition fees covered.

Learn more about the Research project scholarship.

Supervisor

Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your:

  • previous academic record
  • publication record
  • honours and awards
  • employment history

A working knowledge of extended reality and artificial intelligence development is highly desirable.

You will demonstrate academic achievement in the field/s of computer science or information technology or engineering and the potential for scholastic success.

A background knowledge of human-computer interaction, virtual/augmented reality and artificial intelligence is highly desirable.

How to apply

Before you apply

Before submitting an application you should:

  1. check your eligibility for a Doctor of Philosophy (PhD)
  2. prepare your documentation
  3. contact Dr Maxime Cordeil (m.cordeil@uq.edu.au) to discuss your interest and suitability
  4. submit your application by 31 March, 2025 31 March, 2025.

When you apply

You apply for this scholarship when you submit an application for your program. You don’t need to submit a separate scholarship application.

In your application ensure that under the ‘Scholarships and collaborative study’ section you select:

  • ‘My higher degree is not collaborative’
  • ‘I am applying for, or have been awarded a scholarship or sponsorship'
  • ‘Other’, then ‘Research Project Scholarship’ and in the ‘Name of scholarship’ field enter XR-CORDEIL.

You should include the following documents in their application: CV (including a list of published works, if applicable), academic transcripts, cover letter, evidence of Australian citizenship or Australian permanent residency or New Zealand citizenship or visa which entitles a person to stay in Australia, or to enter and stay in Australia, without any limitation as to time. Please also include a brief research capability and interest statement relating the candidate’s past education, research and work experiences to their interest and capability to pursue the research project described above.

Candidates who pass this stage of the selection process will be interviewed by the advising team to assess their fit for the project. 

Apply now

This project is not available to international students