MPhil Scholarship in Biomedical Imaging Technology (CIBIT) - MRI

Summary

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, Science and Mathematics
HDR funding type Living stipend scholarship, Top-up Scholarship
Scholarship value $34,013 per annum tax-free (2020 rate), indexed annually
Scholarship duration Two years (24 months) with possible extension up to 28.5 months.
Opening date 9 January 2020
Closing date 2 February 2020

Scholarship description

The Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology (CIBIT), at the University of Queensland, is looking for high calibre enthusiastic Bachelor students who:

  • have studied Engineering, Physics, Computer science degrees or equivalent;
  • are interested in the Biomedical Imaging Technologies, particularly MRI;
  • want to obtain relevant skills and exposure to industry;
  • want to learn about commercialisation; and,
  • have a desire to be involved in academic, clinical and/or industry focused research.

We have exciting opportunities to work with world leading academic researchers and industrial partners focused on the development and translation of new MRI methodologies to the clinic. Some of the projects include:

  • Translating and evaluating Quantitative Susceptibility Mapping in clinical practice
  • Investigating pTx and RF pulse design technologies to enhance Ultra-high Field MRI
  • The integration of multimodal imaging, clinical and genomic data

Applications are invited from outstanding and enthusiastic graduates who have an interest, and preferably a background, in Biomedical Imaging Technology. They should have basic understanding of object orientated coding principles and basis knowledge and experience in a programming language: C++, Matlab, Python or equivalent.

Successful students will have the opportunity to:

  • Learn about the trends occurring in diagnostic imaging in the age of “Personalised Medicine”
  • Learn about the use of Artificial Intelligence concepts such as machine learning and big data analytics in real world problems; and,
  • Undertake internships with our industrial partners.

CIBIT is a multidisciplinary collaboration between researchers at The University of Queensland’s Centre for Advanced Imaging and partners in the Medical Technologies and Pharmaceutical industry. The purpose of this national Centre is to provide research training in the development and application of novel diagnostics, therapeutics and theranostics (combined therapeutics and diagnostics) in conjunction with industry partners.

The Centre for Advanced Imaging (CAI), a strategic initiative of The University of Queensland, is a leading imaging research facility in Australia, and one of a handful in the world. It brings together the skills of a critical mass of researchers and state-of-the-art, world- or Australian-first imaging research instruments including NMR, EPR, MRI, PET, CT, optical imaging and an on-site cyclotron and radiochemistry facilities. CAI hosts the largest Node of the National Imaging Facility (NIF).

CAI conducts research across the spectrum from development of new imaging technologies, analysis of molecular structure, synthesis of MRI and PET biomarkers targeting fundamental biological processes to studies of major diseases affecting a range of organ systems, through to imaging economically significant agricultural animals and plant material, minerals and construction materials.

A multidisciplinary, cohesive student community have come together from all over the globe to CAI to undertake research training. The Centre has an active student association (STAC) that provides many opportunities for networking and professional development, a supportive mentoring structure that will enhance personal and professional growth, an annual symposium and a well-attended weekly seminar program which attracts high profile National and International speakers.

CAI is committed to supporting the career growth of female researchers and have a number of initiatives to support females in developing and achieving a fulfilling research career at the institute. For more information, please visit our CAI Women in Imaging website.

Eligibility

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

Before you apply

If this scholarship has rules, download and read them before applying.

How to apply

To be considered for this scholarship, please email the following documents to CIBIT Manager (administrator@cibit.org.au

  • Cover letter
  • CV
  • Academic transcript/s
  • Evidence for meeting UQ's English language proficiency requirements eg TOEFL, IELTS

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program. If you are selected as the preferred applicant, you will then be invited to submit a full application for admission. You can familiarise yourself with the documents required for this process on the Graduate School's website.

Selection criteria

Applications are invited from outstanding and enthusiastic graduates who have an interest, and preferably a background, in Biomedical Imaging Technology. They should have basic understanding of object orientated coding principles and basis knowledge and experience in a programming language: C++, Matlab, Python or equivalent.

Contact

Professor Markus Barth

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.

The information you provide in your application is collected for the purposes of (1) assessing your eligibility for this scholarship, (2) selecting scholarship recipients, and (3) administration of the scholarship.  The University of Queensland will disclose the information you provide to CIBIT for the stated purposes. The University will not otherwise disclose the information to a third party without your consent, unless such disclosure is authorised or required by law.  For further information, please refer to the University’s Privacy Management Policy at http://ppl.app.uq.edu.au/content/1.60.02-privacy-management