- Applications close
- 1 April 2021
What you'll receive
- The successful applicant will receive a living allowance of $33,413pa for three years, indexed annually.
- The scholarship is for full time study and can be used to support living costs.
- A six month extension to the scholarship is also possible, subject to approval by QUT.
- A successful international student will be considered for a HDR tuition fee sponsorship, if successful in receiving the scholarship.
- Meet QUT academic and English language entry requirements for the IF49 Doctor of Philosophy.
- Undergraduate degree in movement science, biomechanics, physiotherapy, biomedical engineering, or a related discipline.
- First class honours (H1) or equivalent.
Essential criteria: An undergraduate degree with first or second class division 1 honours (H1) in movement science, biomechanics, physiotherapy, biomedical engineering, or a related discipline; eligibility for admission to the PhD program at Queensland University of Technology; knowledge of 3D motion analysis; excellent communication skills (written and verbal) in English, including meeting the QUT English language requirements (no exceptions can be made to the latter).
Desirable criteria: Experience in rehabilitation science, biomechanics, and muscle physiology.
The provision of a scholarship is conditional on successful application and admission to the Doctor of Philosophy course. Eligibility for admission to a research degree is determined by the Graduate Research Centre.
How to apply
What happens next?
Applications will remain open until a suitable candidate is found.
You will be invited to submit your application via QUT's Application Portal:
- Follow the steps to apply for a research degree.
- You must submit your expression of interest in a timely manner.
- Indicate your interest in this scholarship by nominating Professor Graham Kerr as principal supervisor and include the name of this scholarship in the financial details section.
- If your EOI is accepted you will be invited to submit a full application including a research proposal to finalise your application.
Due to COVID-19 travel restrictions, preference/priority will be given to domestic or resident international students but exceptional international applicants will be considered.
About the scholarship
Four PhD scholarships are available at Queensland University of Technology, Australia, in assessment of neuromechanics and muscle function of shoulder and upper limb movements. The project is part of an Industrial Transformation Training Centre (ITTC) funded by the Australian Research Council and led by researchers at Queensland University of Technology. The centre aims to advance personalised surgical treatment of joints by integrating computer tools for pre-surgical planning and decision making, computer simulation systems and robot simulators for surgical training. Understanding the effectiveness of these treatments requires assessment and analysis of functional movements in clinical and real-world environments. The successful PhD candidate will use new sensor and robotic assessment technologies in conjunction with advanced motion capture systems to record shoulder and upper limb functional movements.
Project areas include:
- developing a clinical outcome predictive tool through establishment of a normative database for shoulder and upper limb movements
- developing novel movement and muscle function assessments for shoulder and upper limb movements
- examining functional movements prior to and following treatment for shoulder dysfunction or injury
- developing new wearable and robotic technologies for optimising upper limb functional movement;\developing new virtual / augmented reality technologies for rehabilitation.
The project requires a background in movement science, biomechanics, biomedical engineering, or a related discipline. Experience in 3D motion analysis, electromyography and Matlab is highly desirable.
The PhD student will be supervised by Professor Graham Kerr with input from associate supervisors. The PhD student will work in Professor Kerr’s laboratory as part of an interdisciplinary team with skills spanning imaging, neurophysiology, physiology, motor control, biomechanics, and computational modelling. The student will collaborate with other students and researchers at Queensland University of Technology, University of Queensland and Neuroscience Research Australia. The student will also work closely with orthopaedic surgeons at Greenslopes Hospital.