Phd Scholarship

7 days ago

Clayton, Australia Monash University Full time

**PhD Scholarship - Movement Metrics for Physical Health**:
**Job No.**:682825

**Location**: Clayton Campus

**Employment Type**: Full-time

**Duration**: 3.5-year fixed-term appointment
- **Be inspired, every day**:

- **Drive your own learning at one of the world’s top 80 universities**:

- **Take your career in exciting, rewarding directions**

**About the project**

Australia's population and its workforce are ageing. In physically demanding workplaces, this trend is particularly concerning, as older workers are more prone to injury. These injuries often stem from movement dysfunctions, such as compensating with the lower back due to poor hip mobility, which can arise from both physical factors (e.g. reduced fitness) and mental factors (e.g. sleep deprivation). Shift workers, including nurses, are especially vulnerable due to the demanding nature of their schedules and tasks.

In collaboration with CSIRO, Australia's national science agency and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention strategies to mitigate the risk of injury. You will also conduct user studies in the lab and in the wild to validate and verify the accuracy and performance of the proposed algorithms. Through this project, you will contribute to preventing both acute and chronic musculoskeletal issues, ultimately improving workers' physical and mental well-being.

**About the ITTC Centre in Optimal Ageing**

Monash University is a member of Australia’s Group of Eight coalition, and is internationally recognized for excellence in research and teaching as one of the world's top 80 universities. Embedded in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally.

**Supervisory team**

**Eligibility Requirements**
- Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related to the PhD topic) with a minimum overall average grade of honours equivalent to the Second Class Honours Division A
- Excellent programming and/or robotics background, with a keen interest in human-robot interaction and human motion analysis
- Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage
- IELTS score of 6.5 overall, with no less than 6.0 in each component

**How to apply**
- A cover letter describing your research interests and why you would like to undertake a PhD (maximum one page)
- A CV including qualifications, academic achievements, list of publications, work history and references
- A copy of your academic transcript(s)

**Enquiries**

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