Great news as our NIH R01 grant with Richard Leahy (USC) and John C. Mosher (UT Houston) has been renewed with $3.2M over the next 4 years to pursue the open-source software developments of Brainstorm.

We are grateful for the continued, vital support from NIH over the past 4 grant cycles.

We are looking for a talented post-doctoral researcher to lead the developments of one of the specific aims we will achieve in the course of this grant cycle.

The purpose is to develop enabling tools for naturalistic and single-trial neurophysiology. There is indeed increasing scientific interest in eliciting, recording, and analyzing neural responses to non-repetitive and naturalistic stimuli. Data of this type present particular challenges in terms of documenting rigorously varied, uncontrolled sensory events and behavioral responses with machine and human readable annotations, and in terms of relating such complex sensory presentations and behavior to measured brain activity. The successful candidate will therefore develop a suite of Brainstorm tools for preparing and analyzing multimodal e-phys data in the context of naturalistic neuroscience. This will involve:

an augmented data-structure to allow consistent annotation of single trial and naturalistic data with sensory, behavioral, and environmental information;
specific analysis tools to reconcile the variability of complex behavior with the variability of brain data across trials and individuals. These will include established approaches for hierarchical regression modelling for GLM and novel, emerging techniques based on the extraction of temporal responses functions and inter-subject correlation analysis.

These are vast and ambitious aims. We expect the ideal candidate to focus on specific subareas of the proposed research and developments and grow their research portfolio over the next 3 years (one-year renewable contract at McGill University). We are looking for a PhD graduate with strong programming skills in Matlab and/or Python, and interests in building and validating practical tools for machine-actionable data annotation and provenance schemas, such as the Neuroimaging Data Model (NIDM). Experience with the Hierarchical Event Descriptors (HED-3G) schema and associated tools, such as those adopted by the BIDS community would be appreciated.

Previous experience with methods for electrophysiolgy data analysis is also required, with an emphasis on multivariate statistics and/or learning algorithms in the field. Acquaintance with methods based on temporal response functions or inter-subject correlation measures would be a plus.

The position is open now for an ideal start date around January 2023.

Interested candidates are invited to send their CV and a two-page max. cover letter to Prof Sylvain Baillet.

The lab is located at the Montreal Neurological Institute on McGill’s downtown campus: a world-class environment in the middle of Montreal, a top city for quality of life, science, and entertainment.

Brainstorm NIH funding renewed! We’re hiring!

Time-tracking the spectrum of complex neural dynamics.

Deep down, we’re aging.