What you'll receive
- a scholarship of approximately $35,000 a year for 3.5 years
- travel funding to attend international conferences.
The value of this scholarship is flexible, and will be finalised with the successful applicants.
You must have either:
- recently completed an honours degree in computer science, data science or mathematical sciences, and received first-class honours
- completed a research or coursework masters in a related field.
To participate in the research project, you'll need:
- strong written and oral communication skills, including the ability to publish research results, prepare reports and present the results of scientific investigations at national and international conferences
- proven ability to work independently and as part of a team to prototype research ideas and develop them into demonstration and proof of concept systems
- demonstrated experience of programming skills (e.g., Java, C++, R, Python)
- to be enthusiastic and self-motivated.
How to apply
Submit your application to the Science and Engineering Faculty Research Scholarships Office.
Your application must include:
- a cover letter
- an up-to-date curriculum vitae (CV)
- full academic transcript
- a summary (up to 2 pages) of your scientific career, including details of your:
- final undergraduate project
- research interests
- contact details of 3 referees, including email address and phone numbers.
For more information about the application process, contact our scholarships officer, David Kabelele.
What happens next?
Applications for this scholarships will stay open until we find a suitable candidate.
If your application is successful, we'll send you an application form, which you'll need to submit to confirm your eligibility.
About the scholarship
A new exciting project is recruiting 2 postdoctoral fellowships and 3 PhD students to work on developing the next generation neuroimaging diagnosis using MRI. This large $4.8 million project involves: Australia’s premier research organisation the CSIRO; Queensland University of Technology; Maxwell+, a start-up developing AI for precision medicine; and I-MED, a large private radiology practice.
The scholars based at QUT in Brisbane will develop new deep learning technologies for the analysis of brain MRI with the goal of predicting neurodegenerative diseases such as Alzheimer’s. This PhD projects will focus on:
- data augmentation techniques using synthetic approaches
- estimating uncertainty and reducing bias when using deep learning methods for medical Image analysis
- physics/medical constraints in deep learning neural networks and their optimisation.