Scholarship details

Study levels

Research

Student type

Future students

Study area

Engineering, Health and community, Science, technology and engineering and mathematics

What you'll receive

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You'll receive:

  • a living allowance of AU$28,106pa for three years, indexed annually.

International students will also be considered for a tuition fee sponsorship.

Eligibility

You must:

You must also hold either:

  • an undergraduate degree with first or second class division 1 honours
  • a masters degree by research in:
    • medical physics
    • biomechanics
    • mechanical engineering
    • biomedical engineering
    • a related discipline.

You should also have:

  • good knowledge of computed tomography (CT) imaging, image- segmentation and analysis
  • excellent programming skills (including MATLAB, Python
  • excellent written and verbal communication skills in English, including meeting the QUT English language requirements (no exceptions can be made to the latter).

Ideally you will also have:

  • experience in machine learning algorithms
  • basic understanding of bone biomechanics
  • basic understanding of computational modelling.

The provision of a scholarship is conditional on successful application and admission to the IF49 Doctor of Philosophy. Eligibility for admission to a research degree is determined by the Graduate Research Centre.

Due to COVID-19 travel restrictions, preference and priority will be given to Australian and New Zealand students and resident international students. However, exceptional international applicants will be considered.

How to apply

You must submit an expression of interest (EOI) for considering before applying for this scholarship.

How to apply for a research degree

The EOI must include:

  • an up-to-date curriculum vitae (CV)
  • academic transcripts
  • an outline of your research interests
  • Professor Peter Pivonka listed as your proposed principal supervisor

For more information about the scholarship or application process contact Professor Peter Pivonka.

What happens next?

Applications will be accepted until the scholarship is awarded, but applications will be assessed starting 25 August, 2021.

If you're our preferred candidate, you'll be invited to apply for a PhD at QUT. You must be accepted into QUT's PhD program to receive this scholarship.

How to apply for a research degree

Indicate your interest in this scholarship by nominating Professor Peter Pivonka as principal supervisor, and include the name of this scholarship in the financial details section.

If your expression of interest is accepted, you'll be invited to submit a full application, including a research proposal, to finalise your application.

Conditions

The conditions for retaining the scholarship are set out in the rules of the QUT Postgraduate Research Award (Domestic) or QUT Postgraduate Research Award (International).

About the scholarship

About the project

Generate novel insights into regulation of bone remodeling and its relation to osteoporosis using synchrotron imaging, machine learning and computational modeling.

We are offering a PhD scholarship at Queensland University of Technology (QUT), Australia for the development of 'a novel platform for investigating osteoporosis treatment: integrating 4D synchrotron imaging and computational modelling'. The project is a collaboration between Queensland University of Technology (QUT) and University of Saskatchewan (USASK), Canada as part of a New Frontiers in Research Fund - Exploration (NFRFE) program.

We seek to better understand how cortical bone is affected by osteoporosis and drug treatments. Longitudinal experimental data in a rabbit model of osteoporosis will be collected by Prof David Cooper (USASK) at the Canadian Synchrotron.

You will use machine learning algorithms to assess morphological changes in cortical bone and to track bone remodeling units over time using co-registration techniques based on provided synchrotron imaging data. Additionally, you will develop a computational model to predict changes in cortical porosity and effects on bone matrix properties due to osteoporosis and other treatment regimens developing state-of-the-art bone adaptation algorithms.

Project areas include:

  • development of machine learning (ML) and artificial intelligence (AI) based algorithms to analyse cortical bone morphological parameters from synchrotron microcomputed (microCT) tomography data
  • development of automatised co-registration algorithms to track resorption cavities in cortical bone based on 4D synchrotron imaging data
  • development of computational models of bone remodeling and adaptation that are able to predict changes in cortical porosity and bone tissue mineral density distribution.
Principal supervisor
Professor Peter Pivonka
Associate Supervisors
Associate Professor Davide Fontanarosa
Professor David Cooper (USASK collaborator)

You will work in Professor Pivonka's lab at Gardens Point Campus. The student will collaborate with other students and researchers at Queensland University of Technology and University of Saskatchewan. The student will also have the opportunity to visit Prof Copper and conduct research at the Canadian Synchrotron.

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