Data analytics for enhanced hearing health

Project overview

Project title

Data analytics for enhanced hearing health

Project description

This project aims to consolidate hearing health data with other datasets to unlock valuable insights and drive personalised hearing healthcare interventions. The expected outcomes are to streamline access to hearing health data, improve data connectivity, and enhance treatment outcomes. The potential benefit is to facilitate informed decision-making for healthcare providers to enable better patient care.

Supervisory team

University

Name of university supervisor	Prof Bamini Gopinath
Name of university	Macquarie University
Email address	bamini.gopinath@mq.edu.au
Faculty	Faculty of Medicine Health and Human Sciences

CSIRO

Name of CSIRO supervisor	Zhibin Li
Email address	zhibin.li@csiro.au
CSIRO Research Unit	Health & Biosecurity

Industry

Name of industry supervisor	Stephen Kleinberg
Name of business/organisation	Cochlear Ltd
Email address	sklineberg@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 University NSW
Industry engagement component location	Cochlear Limited, 1 University Avenue, Macquarie Park NSW
Other locations	CSIRO Westmead (Level 3/160 Hawkesbury Road, Westmead NSW) and CSIRO Herston (296 Herston Road, Herston QLD)
Ideal student skillset	Tertiary qualifications or demonstrated relevant, equivalent professional experience in medicine, health sciences, public health, psychology or a related discipline. Proficient use and knowledge of a wide range of statistical and mathematical platforms including: SPSS, R, MATLAB, Mplus, Excel, NLogit, SAS, Python. 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. Fluency in SQL, data modelling and database design is desirable.
Application Close Date	Open until position filled