CIBIT PhD Top-Up Scholarship – Epilepsy, Machine Learning at University of Queensland, Australia

Scholarship description

The ability to extract information from images using machine learning has increased tremendously with the development of deep Convolutional Neural Networks, which consistently outperform classical machine learning techniques. In this project, deep Convolutional Neural Networks will be used to derive new magnetic resonance imaging (MRI) -based biomarkers of seizure recurrence and medication unresponsiveness following a first unprovoked seizure. Multi-contrast MRI and EEG datasets and clinical information on seizure recurrence and treatment responsiveness accumulated in over 2000 First Seizure patients seen at Royal Brisbane and Women’s Hospital over the last 10 years will be used to develop and test the predictive biomarkers.


Enrolment statusNew students
Student typeDomestic students, International students
Level of studyHigher Degree by Research
Study areaEngineering and Computing, Health and Behavioural Sciences
HDR funding typeTop-up Scholarship
Scholarship value$5817 per annum, indexed annually (2019 rate)
Scholarship durationThree years with the possibility of two 6-month extensions in approved circumstances.
Opening date5 September 2019
Closing date1 December 2019

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