Position supervisor: Dr. Frank Russo
Contract length: Two years, with possible extension to three years
Hours of work per week: 40
Position type: MAC
Rate of pay: Salary is commensurate with experience, benefits provided
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Ryerson University welcomes those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Metis and Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority.
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The Science of Music Auditory Research and Technology Lab, external link (PI: Dr. Frank Russo,) in the Psychology Department at Ryerson University, Toronto, Canada, is seeking a full-time research engineer to start as early as April 1, 2020.
The successful applicant will support a major new research project focused on listening effort and emotion in speech, external link. The research engineer will be engaged in refining best practices and data processing pipelines in hearing studies that combine fNIRS and EEG modalities. The majority of the studies will take place in our labs at Ryerson, while others will take place at StreetLab and DriverLab at the Toronto Rehabilitation Institute, external link, and at the Sonova Innovation Centre, Toronto. The research engineer will work closely with the PI, postdoctoral fellows, graduate students, and other full-time research staff (lab manager, research coordinator). The research engineer will be encouraged to engage in professional development through participation in workshops and/or conferences. Salary will be commensurate with experience, and benefits will be provided.
- A bachelor's degree in engineering or an advanced degree in neuroscience or a related field
- A strong understanding of the scientific method and engineering first principles
- A strong background in signal processing and programming (e.g., Matlab, Python)
- Experience integrating multiple streams of continuous data
- Excellent time-management, communication, and interpersonal skills
- Ability to work independently and as part of a team
In addition, prior experience with ICA, spectrotemporal analysis of EEG, or fNIRS is considered desirable.
How to apply
This is a two-year position with the possibility of renewal for a third year. Funding for the position comes from the Natural Sciences and Engineering Research Council (NSERC) of Canada, Sonova, and Ryerson University. Interested candidates should submit a cover letter, CV, and contact information for three references. Informal inquiries and application materials should be sent to Dr. Frank Russo (firstname.lastname@example.org). Review of applications will begin February 21 and will continue until the position is filled.
Ryerson’s commitment to equity, diversity and inclusion
We encourage all First Nations, Metis and Inuit peoples or Indigenous peoples of North America, to self-identify in their applications and also reach out to Tracey King, Aboriginal HR Consultant for support during the selection process.
Please watch a message from Ryerson's Vice President, Equity and Community Inclusion for more information on our commitment to equity.