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A scholarship is available for a PhD student at Neuroscience Research Australia (NeuRA), aiming to develop a computational model of the lower leg muscles. The project is part of a research project funded by the Australian Research Council aimed at understanding how neural drive, muscle architecture, and muscle mechanical properties interact to produce muscle movements, using computational modelling. The project will use cutting edge magnetic resonance imaging methods (elastography, diffusion tensor imaging, tagged MRI), together with neurophysiology experiments as inputs to develop a computational model of the human calf muscles. The project will provide an opportunity for a suitably qualified student to gain experience with a wide range of cutting edge experimental and numerical methodologies.
The project requires a background in biomedical or mechanical engineering, physics, applied mathematics, or a related discipline. Experience in computational modelling, particularly finite element modelling, and/or in imaging are highly desirable.
The PhD student will be supervised by Professor Lynne Bilston and Dr Bart Bolsterlee, with input from Professors Rob Herbert and Jane Butler. The PhD student will be enrolled through the University of New South Wales and the student will work in Professor Bilston’s laboratory at NeuRA as part of an interdisciplinary team with skills spanning imaging, neurophysiology, physiology, motor control, biomechanics, and computational modelling, in collaboration with researchers in Germany, UK, USA and New Zealand. The student is expected to commence in 2020.
The stipend offered for this 3-year scholarship (with possible extension for 6 months if required) will be at the Australian Research Training Program rate (currently $A28,092 p.a.) plus a $A5,000 top up scholarship, for a total of $33,092 p.a. Both Australian and international applicants are welcome to apply. However this scholarship does not cover university tuition fees for international students, and international students may need to apply for a tuition fee scholarship at UNSW, if successful in winning the scholarship.
Essential criteria: An undergraduate degree with first or second class division 1 Honours (or equivalent) in biomedical or mechanical engineering, physics, applied mathematics, or a related discipline; eligibility for admission to the PhD program at the University of New South Wales (see https://research.unsw.edu.au/submit-application), including meeting the UNSW English language requirements; knowledge of solid mechanics; excellent communication skills in English (written and verbal); able to safely work in an MRI scanner.
Desirable criteria: Experience in computational modelling, preferably in finite element analysis; biomechanics, biomedical science, and physiology knowledge.
Enquiries: Professor Lynne Bilston (l.bilston@neura.edu.au).
Applications: Please send your application, including a cover letter addressing the essential and desirable criteria and curriculum vitae to Professor Bilston.
Closing Date: Applications will be accepted until the scholarship is awarded, but applications will be assessed starting February 28th, 2020.
The project requires a background in biomedical or mechanical engineering, physics, applied mathematics, or a related discipline. Experience in computational modelling, particularly finite element modelling, and/or in imaging are highly desirable.
The PhD student will be supervised by Professor Lynne Bilston and Dr Bart Bolsterlee, with input from Professors Rob Herbert and Jane Butler. The PhD student will be enrolled through the University of New South Wales and the student will work in Professor Bilston’s laboratory at NeuRA as part of an interdisciplinary team with skills spanning imaging, neurophysiology, physiology, motor control, biomechanics, and computational modelling, in collaboration with researchers in Germany, UK, USA and New Zealand. The student is expected to commence in 2020.
The stipend offered for this 3-year scholarship (with possible extension for 6 months if required) will be at the Australian Research Training Program rate (currently $A28,092 p.a.) plus a $A5,000 top up scholarship, for a total of $33,092 p.a. Both Australian and international applicants are welcome to apply. However this scholarship does not cover university tuition fees for international students, and international students may need to apply for a tuition fee scholarship at UNSW, if successful in winning the scholarship.
Essential criteria: An undergraduate degree with first or second class division 1 Honours (or equivalent) in biomedical or mechanical engineering, physics, applied mathematics, or a related discipline; eligibility for admission to the PhD program at the University of New South Wales (see https://research.unsw.edu.au/submit-application), including meeting the UNSW English language requirements; knowledge of solid mechanics; excellent communication skills in English (written and verbal); able to safely work in an MRI scanner.
Desirable criteria: Experience in computational modelling, preferably in finite element analysis; biomechanics, biomedical science, and physiology knowledge.
Enquiries: Professor Lynne Bilston (l.bilston@neura.edu.au).
Applications: Please send your application, including a cover letter addressing the essential and desirable criteria and curriculum vitae to Professor Bilston.
Closing Date: Applications will be accepted until the scholarship is awarded, but applications will be assessed starting February 28th, 2020.