Postdoctoral Research Fellow

3 weeks ago


Toronto, Ontario, Canada Baycrest Full time
Postdoctoral Fellowship Opportunity

The Rotman Research Institute at Baycrest is seeking a highly skilled postdoctoral fellow to join our research team. The successful candidate will be supervised by Dr. Björn Herrmann and collaborate with Morgan Barense at the University of Toronto and Alexander Barnett at McGill University.

The research focuses on the cognitive neuroscience of auditory and memory function, using behavioral/psychophysical methods and functional neuroimaging (fMRI) in younger and older adults with or without hearing loss. The fellow will investigate how naturalistic speech is perceived, encoded, and recalled, including the underlying brain and cognitive processes.

The research aims to explore the intersection of speech processing and memory, with opportunities for the fellow 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 within the institute and with other researchers in Toronto.

Responsibilities
  • Experimental design, data collection, and analysis
  • Behavioral studies
  • Functional neuroimaging (fMRI)
  • Data analysis using advanced statistical tools
  • Dissemination of research results
Qualifications
  • PhD or equivalent degree in psychology, cognitive neuroscience, physiology, electrical engineering, or similar
  • Advanced quantitative and computer skills, including programming in MATLAB or Python
  • Experience recruiting and testing research participants
  • Experience with fMRI data collection and analysis
  • Effective oral and written communication skills

We are committed to employment equity and diversity in the workplace and welcome applications from women, members of racialized groups/visible minorities, Indigenous persons, persons with disabilities, persons of any sexual orientation, or persons of any gender identity or gender expression.

To minimize implicit bias, we require all applicants to submit two independent application documents: one main application file and one supplementary anonymized application file. Only the anonymized information will be used for the initial screening and rating of applicants.



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