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@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@sfu.ca