Connectionists: Several PhD positions in clinical EEG and MEG at SFU, Vancouver

[Vasily Vakorin]

Dear moderators,
Can you please post this ad?
Thank you.

Several PhD positions in clinical EEG and MEG at SFU, Vancouver

Several funded Ph.D. positions are available at Simon Fraser University
(Vancouver, Canada), at the Department of Biomedical Physiology and
Kinesiology and the School of Engineering Science. Ph.D. candidates will
focus on research in neurophysiology, such as electroencephalography (EEG)
and magnetoencephalography (MEG), and machine learning to study clinical
populations.

Two Ph.D. projects will use clinical routine EEG recorded and evaluated in
public hospitals in the process of neurological evaluation to predict
patients’ clinical profiles. The other project will apply MEG to explore
cortico-cerebellar brain networks in children with autism.

Ph.D. candidates are expected to get experience with digital signal
processing, multivariate statistics, predictive analytics (deep learning
and classical machine learning) and data analysis with applications in
clinical and cognitive neuroscience, and further develop scientific
programming skills (Python).
The ideal start date is September 2022, but in general it is flexible.

For more information, please contact Dr. Sam Doesburg, Dr. Teresa Cheung,
and Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested,
please send your cover letter and CV to vvakorin at sfu.ca . Please name the
attached files according to the format: Lastname_Firstname_cv.pdf and
Lastname_Firstname_coverletter.pdf .

Thank you,
Vasily Vakorin, Ph.D.
Scientist & NeuroInformatics Lead - Behavioral &  Cognitive Neuroscience
Institute
Adjunct Professor - Biomedical Physiology & Kinesiology
Simon Fraser University, British Columbia, Canada
Affiliated Researcher - Fraser Health Authority, British Columbia
email: vvakorin at sfu.ca
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