Applying imaging methods and data analytics to explore the listening brain
Project overview
Project title
Applying brain-imaging methods and brain-data analytics to explore the listening brain in individuals with hearing and listening problems
Project description
This Project aims to understand brain circuits and processes supporting communication in individuals with hearing problems, including those who use devices such as hearing aids and cochlear implants. The potential benefits are that individualised strategies based on real-time brain states estimate algorithms to empower listening and support effective communication. The Project will use brain-imaging techniques‚ including those compatible with listening technologies, including electroencephalogram (EEG), to explore the listening brain. The Project will explore brain changes that arise from hearing loss, how changes in brain function – within and beyond the auditory brain – arise to support listening when hearing is impaired, and how these findings can be used as a part of devices such as cochlear implants that engage the rest of the brain to support an individual’s listening.
Supervisory team
University
| Name of university supervisor | Prof David McAlpine |
| Name of university | Macquarie University |
| Email address | david.mcalpine@mq.edu.au |
| Faculty | Faculty of Medicine Health and Human Sciences |
CSIRO
| Name of CSIRO supervisor | Dr Javier Urriola Yaksic |
| Email address | javier.urriola@csiro.au |
| CSIRO Research Unit | Health & Biosecurity |
Industry
| Name of industry supervisor | Dr Zachary Smith |
| Name of business/organisation | Cochlear Ltd (website) |
| Email address | zsmith@cochlear.com |
Further details
| Primary location of student | Macquarie University Hearing, Australian Hearing Hub, 16 University Avenue, Macquarie NSW |
| Industry engagement component location | Cochlear Limited, 1 University Avenue, Macquarie Park, NSW |
| Other locations | CSIRO, Surgical Treatment and Rehabilitation Service (STARS), Level 7, 296 Herston Road, Herston QLD |
| Ideal student skillset | Strong background in signal processing and machine-learning, data analytics, with an interest in applying these techniques to brain sciences and bionics. Tertiary qualifications or demonstrated relevant, equivalent professional experience in engineering, computer-science, or a related discipline Proficient use and knowledge of a statistical and mathematical platform, e.g. MATLAB, Mplus, Python, SPSS. Experience in statistical tests ranging from parametric to non-parametric methods, linear and nonlinear methods and machine learning strategies. Strong time and project management skills and can work in a team environment Multidisciplinary in their approach and with an ability to apply skills and experience to various fields |
| Application close date | Open until position filled |
| Apply | Contact Prof David McAlpine |