PhD scholarship: MRI methods development (sequence programming/deep learning)


Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing, Medicine
HDR funding type Living stipend scholarship
Scholarship value Three years with the possibility of two 6-month extensions
Scholarship duration $28,597 per annum (2021 rate), indexed annually
Opening date 21 October 2020
Closing date 8 November 2020


Supervisor – Dr Hongfu Sun

We are currently recruiting a PhD student to innovate on novel MRI methods that can be eventually applied to neuroscience and neurological diseases. Our lab is focusing on these research topics:

  1. MR image processing through advanced optimization techniques and deep learning
    To develop advanced image reconstruction methods for MRI post-processing techniques, such as Quantitative Susceptibility Mapping (QSM) and accelerated MRI acquisition reconstruction. Particularly through (1) image optimization/regularization, compressed sensing, and (2) deep learning.
  2. 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.
  3. 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.

A working knowledge of MATLAB, python, and C++ programming would be of benefit to someone working on this project.


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 this link. 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 ‘Other’, then ‘Research Project Scholarship’ and type in ‘MRI METHODS’ in the 'Name of scholarship' field.

See an example of what you have to do

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

Selection criteria

Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.

The applicant will demonstrate academic achievement in the field/s of medical imaging and the potential for scholastic success.

A background or knowledge of deep neural networks is highly desirable.

Applications are closed.


Dr Hongfu Sun
+61 7 3365 4307
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.