Biomedical engineering and artificial intelligence to develop next-generation diagnostic tools in sleep medicine

Project opportunity

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

This project is about developing next-generation diagnostic tools in sleep medicine. It will involve the application of biomedical engineering signals processing and/or artificial intelligence and/or mathematical modelling of physiology to very large international clinical and research datasets to develop and validate improved methods of evaluating Obstructive Sleep Apnoea severity.

The successful candidate will benefit from excellent mentorship and opportunities for international academic and industry collaboration and researcher exchange.

Scholarship value

As a scholarship recipient, you'll receive: 

  • living stipend of $28,854 per annum tax free (2022 rate), indexed annually
  • tuition fees covered
  • single Overseas Student Health Cover (OSHC)

Supervisor

Dr Philip Terrill

School of Information Technology and Electrical Engineering

Email: pterrill@itee.uq.edu.au

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 engineering, computer science, medical physics, or a quantitative biology/health science would be of benefit to someone working on this project.

A background or knowledge of biomedical engineering and/or application of quantitative methods in biology is highly desirable.

Latest commencement date

If you are the successful candidate, you must commence by Research Quarter 2, 2023. You should apply at least 3 months prior to the research quarter commencement date.

If you are an international applicant, you may need to apply much earlier for visa requirements.

How to apply

You apply for this project as part of your PhD program application.

View application process