Communicating in the real world
Project overview
Project title
Communicating in the real world
Project description
This project aims to utilise existing sensor technologies to evaluate the impact of hearing loss when communicating in noisy environments. The expected outcome is the discovery of novel analysis methods that utilise multi-sensor fusion techniques. The potential benefit is improved outcomes for individuals with hearing loss.
Supervisory team
University
Name of university supervisor | A/Prof Jorg Buchholz |
Name of university | Macquarie University |
Email address | jorg.buchholz@mq.edu.au |
Faculty | Faculty of Medicine Health and Human Sciences |
CSIRO
Name of CSIRO supervisor | Dr Wei Lu |
Email address | wei.lu@csiro.au |
CSIRO Research Unit | Health & Biosecurity |
Industry
Name of industry supervisor | Dr Zachary Smith |
Name of business/organisation | Cochlear Ltd |
Email address | zsmith@cochlear.com |
Website | Cochlear Australia | Hear now. And always |
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 | Tertiary qualifications or demonstrated relevant, equivalent professional experience in audiology, speech & hearing, psychology, (bio-medical) engineering, data sciences, or a related discipline. Experience in the design and conducting of behavioural experiments with humans, particularly with assessing speech perception, communication, and/or hearing abilities. Experience with the acquisition, processing, and analysis of acoustic and bio-medical sensor data. Experience in statistical tests ranging from parametric to non-parametric methods, linear and nonlinear methods, and machine learning strategies. Proficient use and knowledge of a wide range of statistical and mathematical platforms including Python, R, Matlab, JAX, SPSS, and Excel. |
Application Close Date | Open until position filled |
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