Communicating in the real world

By March 7th, 2025

Project overview

Project title

Project 2: Listening and 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 (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 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
Apply Macquarie University