Current Opportunities

Join the neuroscience and neurotechnology community at SFU! Current training and research opportunities are posted here as they become available.

Several Ph.D. ANd M.S. positions (clinical EEG recordings and medical texts)

Several fully-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. There are also funding opportunities for pursuing a Master's degree.

One of the large-scale projects is based on an extensive dataset of routine clinical EEG recorded and evaluated in the process of a diagnostic workup at four local public hospitals. The data include EEG scans and corresponding EEG reports (written impressions of the visual analysis of the EEG, which was done by neurologists). One Ph.D. project will use EEG recordings to predict clinically-relevant labels. The other project will apply natural language processing (NLP) tools to develop models for extracting labels from EEG reports. 

For more information, please contact Dr. Sam Doesburg or 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.

Ph.D. and Research Assistant (RA) positions in the Digital Health Research Laboratory 

Positions are available in the Digital Health Research Laboratory (Director - Dr. Sylvain Moreno) at the School of Interactive Arts and Technology (SIAT). Research in the lab is centered around questions on ageing over the lifespan. Methodologically, projects in the lab strongly rely on large-scale, cross-sectional and longitudinal, national and international data repositories, which include structural and functional neuroimaging (MRI), neurophysiological records (EEG/MEG), genetics (SNPs), cognitive assessments, and survey data. The expected Ph.D. students and RAs are expected to apply and further develop their computational, mathematical, statistical, and scientific programming (say, Python or R) skills.

If you are interested, please send your CV and a short cover letter to Dr. Vasily Vakorin at vvakorin@sfu.ca. Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf.