Scholarship details

Study levels

Research

Student type

Future students

Study area

Engineering, Information technology, Science, technology and engineering and mathematics

Application dates

Applications close
1 January 2022

What you'll receive

You'll receive:

  • a living allowance of AU$33,413 (indexed rate) per annum for three years, indexed annually
  • a potential six-month extension, subject to approval.

The scholarship is for full-time study and can be used to support living costs.

Successful international students will be considered for tuition fee sponsorship.

Eligibility

You must:

  • meet the academic and English language entry requirements for QUT's Doctor of Philosophy (PhD)
  • have a recently completed degree in computer science, engineering, mathematics or statistics
  • have received first-class honours (H1) or equivalent
  • have knowledge of modelling, machine learning and data analysis
  • have excellent communication skills.

We'd prefer you to have:

  • experience in handling large data
  • familiarity with AI and ML algorithms or packages
  • scientific writing skills for publications.

Due to COVID-19 travel restrictions, this scholarship is only available for students who are a resident or currently onshore in Australia.

How to apply

To be considered for this scholarship, you will need to apply for and be accepted into a PhD at QUT.

How to apply for a research degree

Contact Professor You-Gan Wang for more details.

What happens next?

Applications will remain open until a suitable candidate is found.

Conditions

This scholarship will be governed by the QUT Postgraduate Research Award (Domestic) or QUT Postgraduate Research Award (International) rules.

About the scholarship

Research activities

This scholarship is funding research in statistical-based multiscale frameworks for modelling bone for clinical applications, including the assessment of implant stability. As part of the research, you'll:

  • develop novel algorithms to solve the unique data issues in applying machine learning algorithms for describing and predicting the performance of different surgical treatments
  • contribute as part of a multidisciplinary research team.
  • collaborate with other students and researchers at QUT, University of Queensland, and Neuroscience Research Australia
  • work closely with orthopaedic surgeons at Greenslopes Private Hospital and Brisbane Private Hospital.

About the research centre

This research is part of an Industrial Transformation Training Centre for Joint Biomechanics (ITTC-JB) at QUT, funded by the Australian Research Council and conducted in collaboration with the University of Queensland (UQ), the University of New South Wales and different ITTC industry partners.

The ITTC-JB is located within the School of Mechanical, Medical and Process Engineering in our Faculty of Engineering, at our Gardens Point campus.

The Centre conducts applied research into Joint Biomechanics and will provide advances required to transform personalised surgical treatment of joints through integrated technologies for pre-surgical planning and decision making, computer simulation systems and robot simulators for surgical training and medical device assessment, and post-surgical assessment tools.

Supervisors

You'll be supervised by QUT Chief Investigators Professor YT Gu and Professor You-Gan Wang.

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