We are looking for a Post-Doctoral Fellow for a 2-year term at the Centre for Addiction and Mental Health (CAMH), affiliated with the University of Toronto, under the supervision of Dr. Colin Hawco.
The fellow will apply advanced computational and statistical approaches to available neuroimaging data which includes task based and resting-state functional MRI, structural MRI, diffusion MRI, EEG, and concurrent TMS-EEG, as well as cognitive/behavioural measures. Current primary research topics include multi-modal brain-behaviour relationships and the interface between neuroimaging and neurophysiological (EEG or TMS-EEG) measures. Available neuroimaging data has been preprocessed and passed initial QC and is ready for statistical analysis. The candidate will also have access to numerous publically available large sample data sets such as Human Connectome Project (HCP), ABCD, the ADNI autism dataset, and many others, as well as over 3000 locally available neuroimaging data sets on disorders such as schizophrenia, depression, bipolar, late-life depression, and Alzheimer’s Disease.
The successful candidate will work within a collaborative multi-PI computational neuroimaging research group focused on neuroimaging biomarkers in psychiatric research. Collaboration with trainees is expected. Available resources include a Linux cluster of 22 high-powered workstations and four high-powered computer nodes (e.g. 40 Xeon core processors and 128 GB RAM each) and qsub system, research support staff and system admins, and a well curated pipeline system including current standards such as BIDS naming, standardized preprocessing (e.g. fMRIprep), thorough data QA/QC, and reproducible computing (e.g. containerization).
The ideal candidate will have or be completing a PhD in psychology, neuroscience, or a related field, and have research experience in cognitive neuroscience, functional MRI, EEG, and/or computational approaches and coding (R, python, Matlab).
CAMH is a world-leading psychiatric research hospital. Our centre supports diversity and respect in the workplace, and provides a high quality and positive learning environment for all trainees. Funds are available for at least two-years at a competitive salary. Start date is dependent on the candidate’s availability.
For more information, please email email@example.com, including a CV and statement of research interests. Inquires welcome.