Postdoctoral Fellow

at  Baycrest

DATE POSTED: OCTOBER 29, 2024

Our research team is seeking a postdoctoral fellow. The postdoctoral fellow will be supervised by Dr. Björn Herrmann at the Rotman Research Institute, and collaborate with Morgan Barense at the University of Toronto and Alexander Barnett at McGill University. The successful applicant will use behavioral/psychophysical methods and functional neuroimaging (fMRI) in younger and older adults with or without hearing loss to study how naturalistic speech is perceived, encoded, and recalled, including the underlying brain and cognitive processes. The research aims to investigate the intersection of speech processing and memory. The fellow will have the opportunity to develop other projects depending on their skills, interests, and interactions with other lab members. The fellowship will start early 2025 (flexible) and offers ample opportunity for collaborations both within the institute and with other researchers in Toronto. The application deadline is December 1, 2024.
The Rotman Research Institute (RRI) is a premier international centre for the study of human brain function. The RRI is committed to advancing knowledge of healthy aging and age-related brain disorders, such as dementia, stroke, and sensory loss, by building on its foundational strengths in cognitive neuroscience and its leadership in the innovative use of informatics, electrophysiology, and neuroimaging technologies.

QUALIFICATIONS INCLUDE BUT ARE NOT LIMITED TO:

• PhD or equivalent degree in psychology, cognitive neuroscience, physiology, electrical engineering, or similar
• Must have advanced quantitative and computer skills, including the ability to program in MATLAB or Python for experimental design and sophisticated data analysis
• Experience recruiting and testing research participants
• Experience with fMRI data collection and analysis
• Effective oral and written communication skills

• Experimental design, data collection and analysis, manuscript preparation
• Behavioural studies
• Functional neuroimaging (fMRI)
• Data analysis using advanced, multivariate statistical tools applied to behavioral and fMRI data
• Dissemination of research results (e.g., publications, conferences, public outreach)