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

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.

If you apply for this position please say you saw it on Psychoneuroxy


All Jobs


Harvard University Academic Positions

Kuwait University Current Faculty Openings

Osaka University Academic Opportunities

Purdue University Job Postings for Faculty Positions

Texas Tech University Faculty Openings

Tsinghua University Job Postings

University of Cambridge Job Openings

University of Geneva Faculty Opportunities

University of New South Wales Job Openings

University of Nottingham Research Positions

University of Oslo Academic Jobs

University of Saskatchewan Faculty Positions

University of Southampton Research Vacancies

University of Tokyo Current Academic Vacancies

University of Toronto Open Faculty Positions

University of Zurich Job Postings