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Position: PhD in Computer Science
An opportunity exists for a motivated PhD candidate to work within an exciting international multidisciplinary project looking at intelligent agents to definitively support clinical judgement and decision-making for elite athletes' safe return to sport following knee injury.
About the Project:
Anterior Cruciate Ligament (ACL) injury of the knee can be a devastating injury for an elite athlete requiring a long period out of sport and with further risks for re-injury on return to competition. A vast amount of work has been done in recent years to improve the knowledge base of post-injury rehabilitation following an injury, and although a relationship between improved performance in objective functional tests and a reduction in re-injury risk is advocated in the literature, further research is needed to better define the predictive criteria to reduce injury risk.
Based primarily in Canberra, Australia this full-time position is jointly funded by the Australian National University as a PhD Scholarship and as an applied Computer Science position through Pitch Ready™ which tests elite athletes based in Australia, UK and the USA.
Eligibility:
As per university policy, this PhD scholarship is available to potential and current students with:
Benefits:
Supervisors:
Dr Tim McGrath (PhD) - Sports Physiotherapist
Tim is a Sports Physiotherapist based in Canberra. He is the current Head Physiotherapist to St George-Illawarra Dragons NRL side and has also completed a PhD in anterior cruciate ligament and high-level knee rehabilitation and the association of functional outcome measures associated with this.
Contact Tim on Twitter at: @_timmcgrath
Adj/Prof Hanna Suominen (PhD, MSc) – Senior Lecturer, Team Leader
Hanna, with over 15 years’ experience in longitudinal, multimodal data analytics for saving, structuring, and summarising data, is bridging the gap between computing and health sciences. She works in The ANU as a Senior Lecturer and Data61 as the Team Leader of TAMPA, Theory and Applications of Multimodal Pattern Analysis within the Machine Learning (ML) Research Group. Her papers been published in the most prestigious journals, cited 900 times, and awarded twice for a best paper and 4 times for the top ML methods for health language processing.
Contact Hanna on Twitter at: @hajasu
Further Information:
contact Dr. Tim McGrath on Twitter: @_timmcgrath
Further information can be obtained from the ANU website: https://cecs.anu.edu.au/research/stu...erior-cruciate
ANU PhD Scholarship Information: http://www.anu.edu.au/students/schol...d-scholarships
Pitch Ready™ Website: www.pitch-ready.com
An opportunity exists for a motivated PhD candidate to work within an exciting international multidisciplinary project looking at intelligent agents to definitively support clinical judgement and decision-making for elite athletes' safe return to sport following knee injury.
About the Project:
Anterior Cruciate Ligament (ACL) injury of the knee can be a devastating injury for an elite athlete requiring a long period out of sport and with further risks for re-injury on return to competition. A vast amount of work has been done in recent years to improve the knowledge base of post-injury rehabilitation following an injury, and although a relationship between improved performance in objective functional tests and a reduction in re-injury risk is advocated in the literature, further research is needed to better define the predictive criteria to reduce injury risk.
Based primarily in Canberra, Australia this full-time position is jointly funded by the Australian National University as a PhD Scholarship and as an applied Computer Science position through Pitch Ready™ which tests elite athletes based in Australia, UK and the USA.
Eligibility:
As per university policy, this PhD scholarship is available to potential and current students with:
- Solid programming skills (incl. experimentation, statistical testing, and information visualisation), preferably using Matlab, Java, or Python.
- Success in the ANU course(s) of Artificial Intelligence and/or Introduction to Statistical Machine Learning and/or Signal Processing or equivalent (or similar)
- a Bachelor degree with first-class honours (some Colleges may consider students with upper second-class honours), or a Master degree with a research component or equivalent from a recognised university
Benefits:
- Travel and Removal allowances for students relocating to Canberra to commence their research program;
- Thesis allowance;
- Dependant Child allowance (International students only);
- Paid medical, maternity and paternity leave
Supervisors:
Dr Tim McGrath (PhD) - Sports Physiotherapist
Tim is a Sports Physiotherapist based in Canberra. He is the current Head Physiotherapist to St George-Illawarra Dragons NRL side and has also completed a PhD in anterior cruciate ligament and high-level knee rehabilitation and the association of functional outcome measures associated with this.
Contact Tim on Twitter at: @_timmcgrath
Adj/Prof Hanna Suominen (PhD, MSc) – Senior Lecturer, Team Leader
Hanna, with over 15 years’ experience in longitudinal, multimodal data analytics for saving, structuring, and summarising data, is bridging the gap between computing and health sciences. She works in The ANU as a Senior Lecturer and Data61 as the Team Leader of TAMPA, Theory and Applications of Multimodal Pattern Analysis within the Machine Learning (ML) Research Group. Her papers been published in the most prestigious journals, cited 900 times, and awarded twice for a best paper and 4 times for the top ML methods for health language processing.
Contact Hanna on Twitter at: @hajasu
Further Information:
contact Dr. Tim McGrath on Twitter: @_timmcgrath
Further information can be obtained from the ANU website: https://cecs.anu.edu.au/research/stu...erior-cruciate
ANU PhD Scholarship Information: http://www.anu.edu.au/students/schol...d-scholarships
Pitch Ready™ Website: www.pitch-ready.com
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