Scholarship details
Study levels
Research and PhD
Student type
Future students
Study area
Engineering, Health and community, Science, technology and engineering and mathematics
Eligibility criteria
Academic performance
Citizenship
Australian or New Zealand and International
What you'll receive
- You'll receive a stipend of $33,637 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-exempt rate which will index annually.
- You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first 4 full-time equivalent years of your doctoral studies.
- 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
- You need to meet the entry requirements for QUT's Doctor of Philosophy, including any English language requirements.
- Enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained).
Have a background in mechanical or biomedical engineering, expertise in computational fluid dynamics (CFD), including discrete phase modelling and proficient in using the commercial CFD package ANSYS. Experience in biomedical research is highly regarded.
How to apply
Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy.
- The first step is to email Professor Shaun Gregory
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 Shaun Gregory as your proposed principal supervisor, and copy the link to this scholarship website into question 2 of the financial details section.
About the scholarship
This PhD project focuses on developing a stroke risk model for cardiovascular patients by investigating the relationship between vascular anatomical features and stroke risk using computational fluid dynamics (CFD) across a large patient cohort. Under the supervision of Professor Shaun Gregory, the candidate will work within a collaborative environment alongside the Cardiovascular Research Group, with opportunities to engage closely with clinicians to enhance real-world applicability and impact.