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PhD Scholarship - Medical imaging methods development with ultra-high field MRI

Apply now Job No:509065
Area:Faculty Of Engineering, Architecture & Info Tech
Salary (FTE):School Schol (RTP Rate) NONBAND ($27,596.00 - $27,596.00)
Work type:Full Time - Scholarship
Location: St Lucia

The University of Queensland

The University of Queensland (UQ) contributes positively to society by engaging in the creation, preservation, transfer and application of knowledge. UQ helps shape the future by bringing together and developing leaders in their fields to inspire the next generation and to advance ideas that benefit the world. UQ strives for the personal and professional success of its students, staff and alumni. For more than a century, we have educated and worked with outstanding people to deliver knowledge leadership for a better world.

UQ ranks in the world’s top universities, as measured by several key independent ranking, including the Performance Ranking of Scientific Papers for World Universities (45), the US News Best Global Universities Rankings (52), QS World University Rankings (51), Academic Ranking of World Universities (55), and the Times Higher Education World University Rankings (60). UQ again topped the nation in the prestigious Nature Index; and secured a greater share of Australian Research Council grants in 2016 ($24.5 million) than any other university nationally.

UQ has an outstanding reputation for the quality of its teachers, its educational programs and employment outcomes for its students. Our students remain at the heart of what we do. The UQ experience –the UQ Advantage – is distinguished by a research enriched curriculum, international collaborations, industry engagement and opportunities that nurture and develop future leaders. UQ has a strong focus on teaching excellence, winning more national teaching excellence awards than any other in the country and attracting the majority of Queensland's highest academic achievers, as well as top interstate and overseas students.

UQ is one of Australia’s Group of Eight, a charter member of edX and a founding member of Universitas 21, an international consortium of leading research-intensive universities.

Our 50,000-plus strong student community includes more than 13,000 postgraduate scholars and more than 12,000 international students from 144 countries, adding to its proud 230,000-plus alumni. The University has about 7,000 academic and professional staff and a $1.7 billion annual operating budget. Its major campuses are at St Lucia, Gatton and Herston, in addition to teaching and research sites around Queensland and Brisbane city. The University has six Faculties and four University-level Institutes. The Institutes, funded by government and industry grants, philanthropy and commercialisation activities, have built scale and focus in research areas in neuroscience, biomolecular and biomedical sciences, sustainable minerals, bioengineering and nanotechnology, as well as social science research.

UQ has an outstanding track-record in commercialisation of our innovation with major technologies employed across the globe and integral to gross product sales of $11billion+ (see

The award

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.

Selection criteria

To be eligible to apply, you must also meet the entry requirements for Higher Degrees by Research at UQ. Please visit the Graduate School's website.


For further information, please contact Dr Hongfu Sun.

How to apply

Please visit the advertisement on the Grad School website for information on how to apply. Please do not click the apply button.

Applications close: E. Australia Standard Time

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