Medical imaging methods development with ultra-high field MRI


Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing, Health and Behavioural Sciences
HDR funding type Living stipend scholarship
Scholarship value $28,092 per annum tax-free (2020 rate), indexed annually
Scholarship duration Three years with the possibility of two 6-month extensions in approved circumstances.
Opening date 19 November 2019
Closing date 20 December 2019


We are currently recruiting a PhD student to innovate on novel MRI methods that can be eventually applied to neuroscience and neurological diseases. We have excellent and accessible MRI facility here at UQ, e.g. a state-of-the-art 3T Prisma and a prestigious 7T whole body system (only two in Australia, the other one in UniMelb). The research projects will involve MRI physics, pulse sequence programming, image processing (e.g. machine/deep learning), and image analysis (e.g. big data, data mining). By the end of your graduate study, you will be an expert in MRI with comprehensive skills in maths, physics, and computer programming.

 Our lab is focusing on these research topics:

MR image processing through advanced optimization techniques and machine learning

To develop advanced image reconstruction methods for MRI post-processing techniques, such as Quantitative Susceptibility Mapping (QSM). Particularly through (1) image optimization/regularization, compressed sensing, and (2) machine/deep learning.


Fast, multi-parametric, and quantitative MRI acquisition methods at ultra-high field

To significantly reduce the total scan time for each subject, by (1) accelerating individual scans with parallel imaging techniques at ultra-high field, and (2) designing novel MRI sequences that produce multi-contrast weighted images and multi-parametric quantitative maps from a single MR acquisition.


Brain imaging applications in neuroscience and neurological diseases

To apply comprehensive image analysis on different MRI methods to better understand neuroscience, such as brain development in children and structural and functional connectivity of the brain, as well as some of the neurological diseases such as Alzheimer’s disease/Dementia, Parkinson’s disease, Multiple Sclerosis, Schizophrenia, and Stroke.


To be eligible, you must meet the entry requirements for a higher degree by research.

Applications are closed.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To apply for admission and scholarship, follow the link on the upper right of this page. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select the appropriate scholarship type, or select ‘other’ and type in ‘HSMRI' in the 'Name of scholarship' field.

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Learn more about applying for a higher degree by research at UQ

Selection criteria

  • First-class honours, or master’s degree
  • Maths, physics, medicine, engineering, or computer science background
  • Programming skills (MATLAB, python, C/C++) are essential
  • Machine learning/deep learning knowledge/experience is a plus
Applications are closed.


Dr Hongfu Sun
Applications are closed.

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.

Applications are closed.