Research Fellow of Neurology in Seizure Prediction University of Melbourne, Faculty of Medicine - Dentistry and Health Sciences Australia

Reporting to the Chair of Medicine, St Vincent’s Hospital the Research fellow will work with world leaders in epileptic seizure prediction research to develop and crowdsource machine learning and data science approaches to solving seizure prediction. Seizure prediction will enable the generation of warnings so a person with epilepsy can move to safety, or activation of electrical stimulation or drug delivery to prevent seizures. Our team leverages unique long-term human brain activity data to find novel, clinically relevant solutions to seizure prediction, and publishes these findings in the highest impact neurology journals (Lancet Neurology, Nature Reviews Neurology, Nature Neuroscience, Brain, PNAS).


The appointed research fellow is expected to successfully contribute to and drive innovative research activities to help make seizure prediction a viable option to support patients with epilepsy. The successful candidate will hold a PhD or equivalent qualification complemented with experience in machine learning, data science, signal processing, dynamical systems theory, time series analysis and/or cloud computing.


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