Applications Are Now Closed.

SMART Training Platform Bursary

Bursary Details

The SMART Healthy Cities Training Platform trains the next generation of health, social sciences and humanities, and engineering and natural science researchers to find ways to make Canadian cities healthier, more liveable, and more resilient using food and food systems to improve population health.

Successful awardees will receive bursaries of $10,000 for 1 year.

The SMART Healthy Cities Training Platform welcomes graduate students, as well as postdoctoral fellows in the following disciplines:

  • Public Heath, Epidemiology
  • Food and Nutrition
  • Primary Care and Health Policy
  • Food Science and Food Systems
  • Agriculture
  • Indigenous studies
  • Engineering
  • Economics
  • Computer Science, Artificial Intelligence, Applied Math
  • Social Sciences
  • Other related disciplines under NSERC, SSHERC, and CIHR

Applications are now closed.

Eligibility Guidelines:

  • Students must be successfully enrolled in their home institution’s Masters, PhD program or Post-doctoral Fellowship program.
  • Students must have a committed advisor to sponsor admission, serve as supervisor for the Methods Café course.
  • Participants must complete the following as apart of the SMART Healthy Cities Training Platform:
    • Methods Café course (offered in Fall 2023 semester)
    • Attend the annual Healthy Cities conference once during their funded term (funds are available to differ travel costs).
  • Advisors can supervise more than one SMART Training Platform trainee.

The SMART Training Platform is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, 2SLGBTQI+ persons, and others who may contribute to the diversification of ideas.

Assessment Criteria:

  • Potential for training program to enhance student training (statement of interest, 30%). Traditional and non traditional metrics should be detailed in this section.
  • Research activities (proposed project 10% and potential impact 10%)
  • Proposed complementary training (10%)
  • Letters of reference detailing the strengths and relevant experiences of the candidate and may include non-traditional metrics (30%)
  • CV and academic transcripts (10%)

View our call for applications poster here:

The Application Process

Step 1

Apply to home institution and department

Applicants are encouraged to contact academic partners in the training network to enquire about availability of graduate supervision and opportunities 

Applicants must be accepted to a Canadian institutions before applying to the SMART Training Platform.

Step 2

Apply to the SMART Training Platform

Applicants must complete the online Application Form

Please note that you will be asked to upload the following documents.

Cover letter describing your research interests and why you would like to pursue training as part of the SMART Training Platform. See notes below.

Confirmation of acceptance at home institution/program

Transcripts from last 60 credit hours or most recent.

Step 3

Review of Applications

Applicant will be evaluated by the Admissions Committee.

Decisions: end of Aug 2023; Funding start: Sep 1, 2023.

Step 4

Letter of

Successful applicants will receive a Letter of Acceptance from the Admissions Committee

Trainees must be accepted by both the home institution and training platform

Cover Letter Considerations:

  • Applicants should indicate their home institution and department and may indicate a potential supervisor.
  • Applicants should identify specific activities and accomplishments in courses (or other academic pursuits) that demonstrate academic strengths.  If relevant, applicants may describe life circumstances that have been barriers to pursuing extracurricular activities in the cover letter.   
  • Applicants are expected to demonstrate potential to excel in the training program by providing evidence of relevant work, volunteer and lived experience.  

Frequently Asked Questions:

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