Posting active date: 22/1/2025
Name of corporate partner: Holland Bloorview
Application deadline: 2/2/2025
Corporate partner contact name and email: Mark Dennis: [email protected]
Location: Toronto – in office
Job title: 2025 Ward Summer Research Student – Tom Chau
Job type: Internship (temporary full time)
Reporting to: Dr. Tom Chau
Department: Bloorview Research Institute
Length (contract/internship): 12 weeks
Salary or range: $17.20 per hour
Start date: 5/5/2025
End date: 7/25/2025
Exclusive to Pathways Alumni? No
About the organization:
Holland Bloorview Kids Rehabilitation Hospital is Canada’s largest pediatric rehabilitation hospital and is fully affiliated with the University of Toronto. It has ranked amongst Canada’s top 40 research hospitals for more than a decade. Holland Bloorview has won numerous awards including Greater Toronto’s Top Employers, Canada’s Top Employers for Young People and Canada’s Most Admired Corporate Cultures. We offer an inspiring, inclusive, innovative, and collaborative work environment with competitive compensation and benefit packages and programs that support ongoing learning and professional growth.
Job Summary:
The Ward Summer Student Research program provides an opportunity to experience a unique interdisciplinary mentorship experience. Successful incumbents will have opportunities to work with their mentor on a research project, attend our Lunch ‘n’ Learns and participate in the annual Ward Summer Student Research Day where they will have an opportunity to present their findings to the organization and its visitors. The student will be a member of the PRISM lab – a multidisciplinary team of individuals focused on the development of innovative technologies especially human-and brain-machine interfaces, for children and youth with disabilities and special needs. The student will have the opportunity to work on projects relating to the development and evaluation of technology solutions (e.g., brain-computer interfaces) to improve the quality of life of individuals with severe disabilities. In this role, the student will be part of a multidisciplinary team and will specifically assist with technology prototyping, recruitment, data collection, and data analysis of brain signals (e.g., EEG, fNIRS). The student may have opportunity to interact with children and youth in a research context, gain knowledge about data acquisition, and apply signal processing and machine learning techniques.
Job responsibility:
- Participant recruitment and data collection
- Data entry, analysis and report writing
- Design, develop, and evaluate technology solutions
- Use signal processing and machine learning techniques to analyze data (e.g., EEG, fNIRS and TMS data analysis)
- Interaction with clients, families and staff of the program, and other program’s staff throughout the organizations
- Assistance with poster presentations and potential publications
- Additional duties assigned as required
Experience & Qualification requirements:
- Students must be enrolled in an undergraduate engineering degree program (Required)
- Minimum cumulative GPA of 85% or over (Required)
- Able to utilize skills learned in academic studies in this position
- Has working knowledge of at least one programming language (e.g. MATLAB and/or Python)
- Having signal processing and/or machine learning experience is an asset
- Able to communicate effectively with staff and clients
- Having experience working with children and adolescents is an asset
- Demonstrated understanding of a Family-Centered Care service delivery model
- Ability to work collaboratively as a member of a multidisciplinary team
- Demonstrates ability to work as part of a team and be a team player
- Shows accuracy and attention to detail
- Able to organize work to ensure deadlines are met and follow-up is complete
- Has working knowledge of Microsoft Word, PowerPoint & Excel
- Applies data management skills and principles
Please consult this webpage for more information.
How to apply:
The full application process can be found here.
Please fill out this form ahead of your application: 2024-25 COS RASI mentees.
Apply here once form is completed.
Please submit the following in one (1) pdf file in the order indicated below:
- A copy of your most recent curriculum vitae (CV)
- A copy of your most recent unofficial university transcript
- A list of two referees (recent professors, previous employers) who may be contacted to provide a letter of recommendation in the event you are shortlisted for the position. Please include the full name of referee, title/position, name of institution, institutional email address and phone number