Summary
| Enrolment status | New students |
|---|---|
| Student type | Domestic students, International students |
| Level of study | Higher Degree by Research |
| Study area | Engineering and Computing |
| HDR funding type | Living stipend scholarship |
| Scholarship value | $28,597 per annum (2021 rate), indexed annually |
| Scholarship duration | Three years with the possibility of two 6-month extensions in approved circumstances |
| Opening date | 25 September 2020 |
| Closing date | 11 October 2020 |
Description
Research Environment
UQ ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 46 in the QS World University Rankings, 42 in the US News Best Global Universities Rankings, 66 in the Times Higher Education World University Rankings and 54 in the Academic Ranking of World Universities.
UQ offers a highly collaborative environment. In 2015, UQ scored at world standard in >90% of fields assessed and this is further complemented by the great intellectual environment within UQ and unique infrastructure. We have access to one of only 2 human Ultra-high field MRI research scanners in Australia, a high performance distributed data storage system (UQRDM) and high performance computing resources including a dedicated GPU cluster (WIENER).
The award
Supervisor – Dr Steffen Bollmann
Detailed understanding of the human brain requires the integration of information from different spatial scales and modalities. Major research initiatives, such as the ten-year Human Brain Project and the BRAIN Initiative, have identified the need to merge information across all levels of brain organisation to arrive at a comprehensive and coherent model of the brain. Although there has been substantial progress in understanding the individual levels of brain organisation, it is still unclear how we can link these different scales to obtain a thorough understanding of brain structure and function. Bridging the gap between different levels of brain organisation, such as linking brain microstructure on a cellular level observable using ex vivo histology to macroscopic properties observable using in vivo magnetic resonance imaging requires advanced methodologies, large datasets, and developing new computational frameworks.
This PhD project aims to build computational models for characterising tissue properties from multi-modal magnetic resonance imaging data. The candidate will enrol through the School of Information Technology and Electrical Engineering.
A working knowledge of medical imaging analysis would be of benefit to someone working on this project.
Eligibility
To be eligible, you must meet the entry requirements for a higher degree by research.
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:
- check your eligibility
- prepare your documentation
- contact Dr Steffen Bollmann (s.bollmann@uq.edu.au) to discuss your suitability for this scholarship
When you apply, please ensure that under the scholarships and collaborative study section you:
- Select ‘My higher degree is not collaborative’
- Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
- Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘BOLLMANN IMAGING’ 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 software engineering, high performance computing and statistics is highly desirable.
Contact
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.