Using neuroimaging and/or machine learning to Predict Aphasia Recovery

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

Supervisor – Professor David

To determine the influence of behavioural markers, structural damage and/or structural and functional connectivity on language outcome using patient classification methods. This project has the potential to use a range of methodologies and so would be of interest to clinicians and/or those with an interest/experience in machine learning applications in healthcare.

Preferred educational background

Applications will be judged on a competitive basis taking into account the applicant's previous academic record, publication record, honours and awards, and employment history.

A working knowledge of speech pathology, music therapy, clinical linguistics, psychology, cognitive science, neuroImaging or cognitive neuroscience would be of benefit to someone working on this project.

*The successful candidate must commence by Research Quarter 1, 2022. You should apply at least 3 months prior to the research quarter commencement date. International applicants may need to apply much earlier for visa reasons.

Apply now