Post-doctoral research fellow positions at McMaster University in Hamilton, Ontario

The primary goal of the NIH funded project is developing data analysis tools to unveil how the
human brain encodes complex and natural stimuli using electrophysiological (primarily MEG and
EEG). The overall approach is based on the neuro-current response function method (introduced
in Das et al., 2020; https://doi.org/10.1016/j.neuroimage.2020.116528). Planned work includes
theoretical development of the neuro-current response function method as well as
implementation of a user-friendly analysis pipeline.

We are looking for applicants interested in theory and algorithm development, as well as
development of a versatile data pipeline with user-friendly front-end and documentation.
Development will be using public M/EEG datasets, which provides room to work on diRerent topic
areas, for example auditory and speech processing, emotion perception, external stimulus
processing in patients undergoing anesthesia etc.

The research fellows will work as a part of multidisciplinary team including PIs, postdoctoral
researchers with Engineering, Neuroscience and Medicine background. Candidates will work
primarily with Christian Brodbeck, PhD (McMaster; https://christianbrodbeck.net), Proloy Das,
PhD (https://proloydas.net), but may also consult with a team with diverse topic interests in
neuroscience, including Isabelle Buard, PhD (UofColorado), Monty Escabí, PhD (UConn), Patrick L.
Purdon, PhD (Stanford) and Steven StuRlebeam, MD (MGH).

An ideal candidate would be an experienced researcher who has:
• recently completed their Ph.D. in Computer Science, Electrical & Computer Engineering,
Neuroscience, Biomedical Engineering or a related health field
• strong coding skills (preferably with some Python experience)
• experience and interests in neural data analysis, preferably using signal processing and
system identification approaches
• prior experience with electrophysiology (MEG/EEG; not required, but would be a plus)
• a record of peer-reviewed publications as first author in the areas of Neuroscience, Digital
Signal Processing and/or Machine Learning

Please send your CV, a cover letter summarizing your motivation and research interests (up to 2
pages), email addresses of up to three References, and one example of a recent publication, to
brodbecc@mcmaster.ca. Feel free to reach out to us for further information
(brodbecc@mcmaster.ca, proloy@stanford.edu)