Higher Degree by Research Application Portal

TitlePhD Project with Gordon McLaren Scholarship: Applying Machine Learning Algorithms to improve diagnosis of middle ear disorders in children
CourseDoctor of Philosophy
Project opportunityApplying Machine Learning Algorithms to improve diagnosis of middle ear disorders in children
Description

This project will build on a pilot study that is currently being undertaken at UWA. Middle ear disorders (MEDs) are highly prevalent in children under the age of 7 years old. However, the waiting time to receive audiological care is long in Australia, and current objective audiological methods are unable to differentiate between sub-types of MED accurately. This often leads to deterioration in children’s health and quality of life that adds significant economic burden and frustration to patients, their parents and/or caregivers, as well as the healthcare system. The candidate will be expected to investigate and develop novel research that aids in the diagnosis and detection of these disorders from a computational perspective, whether utilising statistical analysis, machine learning, or deep learning in a way that improves the accuracy, precision, and time-to-diagnosis.

KeywordsMiddle Ear Disorders
Computational Health Science
Machine Learning
Medical Physics
Paediatrics
CategoriesHealth
Clinical Sciences
Computational Health Science
Machine Learning
Medical Physics
Opportunity statusClosed
Open date11 Dec 2023
Close date26 Feb 2024
Research areaInformation and Computing Sciences
Health Sciences
Biomedical and Clinical Sciences
Eligibility

The successful candidate will have a science-based bachelor’s degree with research-based first-class honours, master’s level training, or another research equivalent. They will have the ability to work as part of a team, with good interpersonal communication skills. They will be capable of working independently in an organised fashion, and have demonstrated advanced communication skills in English (oral and written). 

Successful applicants will also demonstrate:

  • Strong academic background in computational health sciences, machine learning, medical physics, audiology, life sciences, bioinformatics, mathematics, or statistics would be highly desired due to the interdisciplinary nature of the project. 
  • Strong interest and passion for data or signal analysis and programming (any suitable language such as C/C++, Python, Matlab, R) in an applied setting. 
  • Desirable: Interest in otolaryngology, audiology or related clinical sciences.
  • This opportunity is open to both domestic and international students.

Citizenship statusDomestic
International
Enrolment statusCurrent student
Future student
How to apply

Please email the following three documents directly to Dr Robyn Choi (robyn.choi@uwa.edu.au) or Dr Christopher Gonzalez (chris.gonzalez@uwa.edu.au).

(1) A cover letter outlining your suitability for the position;

(2) A copy of your academic transcript; and

(3) A brief CV containing your contact details.

Please contact GRS Applications (email applications-grs@uwa.edu.au) for specific course application details.

Contact

Dr Robyn Choi (robyn.choi@uwa.edu.au) 

Dr Christopher Gonzalez (chris.gonzalez@uwa.edu.au)

Scholarship details
Scholarship typeStipend scholarship
Scholarship valueAUD $35,000.00 per annum
Availability

SchoolSchool of Human Sciences
Course typeDoctorates