Opportunities to start a research degree
The Macquarie University Performance and Expertise Research Centre offers a research training environment designed to help Higher Degree Research candidates pursue ambitious, innovative research with purposeful collaboration.
We welcome expressions of interest from prospective PhD and Masters by Research students who are excited to tackle real-world problems in human performance and expertise. With a collaborative structure, engaging mentorship and an active research community, students will:
- be empowered to turn great ideas into high-impact research and real-world outcomes.
- have opportunities to contribute to impactful partner-facing projects
- publish high-quality research.
Open projects
We have several research topics open for expressions of interest. If a project aligns with your research aspirations, we encourage you to get in touch with the listed contact and include a:
- brief CV
- short statement outlining your:
- background
- research interests
- motivation for undertaking the project.
Projects that are currently available include:
Help build wearable activity-monitoring solutions that combine sensing with advanced data analytics to understand human movement and deliver tailored insights that improve performance, recovery and health – in high-stakes environments.
Help build wearable activity-monitoring solutions that combine sensing with advanced data analytics to:
- understand human movement
- deliver tailored insights to improve performance and health in:
- high-stakes environments
- recovery.
You’ll contribute to applied projects across elite sport, clinical and defence settings, developing methods that turn complex movement data into transformative performance and injury insights.
This scholarship is only available for domestic students.
Contact: joel.fuller@mq.edu.au
Help develop new ways to design practice that better prepares people to perform in unfamiliar and changing situations. This project explores how practice experiences can be selected and sequenced to scaffold the development of adaptable perceptual-motor skills.
Using simulated learners, you'll computationally develop and evaluate practice strategies before testing them with human participants – gaining experience in computational modelling (including reinforcement learning), and connecting these methods with nonlinear pedagogy and constraints-led approaches to skill acquisition.
The project aims to better understand how learner, task and environmental constraints can be shaped to:
- accelerate learning
- promote transfer
- support the development of generalisable expertise.
Contact: patrick.nalepka@mq.edu.au
16 University Avenue
Macquarie University NSW 2109