How to Apply?

The deadline to submit the application for the 2022 cycle is July 15.
Please note that the deadline has been extended!

1. Who is eligible?

Any Canadian engineering or social sciences graduate student with intersecting identities that have been historically excluded in Canadian STEM, with a focus on the intersection of gender, race or ethnicity, LGBTQ2S+, income level, and disability is eligible to attend Quant-TIDE.

To be eligible, you must be:

  • A Canadian Permanent Resident or Citizen
  • Enroled in a PhD degree program in engineering or the social sciences at a Canadian University in the Fall 2022 semester
  • Someone with more than one identity that is underrepresented in STEM, with an emphasis on the intersection of gender, race or ethnicity, LGBTQ2S+, class, or disability status.

You also must do research that could benefit or go in a new direction from at least one of the methods you would learn at Quant-TIDE. In the application form, we will ask you to describe why you believe attendance at Quant-TIDE would enhance your graduate education or research. We expect you to make the case for relevance, but we will be very inclusive of what we consider to be relevant work.

2. Application

What pronouns would you like us and your faculty supervisor to use when referring to you (e.g. "she/her/hers" or "they/them/theirs")?
Quant-TIDE is a diversity initiative that supports women and gender minority individuals who also identify as, but not limited to, BIPOC, LGBTQ2S+, growing up with low income, or living with a disability.
Quant-TIDE is a diversity initiative that supports women and gender minority individuals who also identify as, but not limited to, BIPOC, LGBTQ2S+, growing up with low income, or living with a disability. Intersectionality describes the complex, cumulative way in which the effects of multiple forms of discrimination (i.e., racism, sexism, and classism) combine, overlap, or intersect especially in the experiences of marginalized individuals or groups (Crenshaw, 1989).
We must also prioritize Permanent Residents and Citizens of Canada for the fully funded program, which is why we are collecting this information here.
Click or drag files to this area to upload. You can upload up to 3 files.
Please upload a PDF or image file (PNG, JPG, TIFF, BMP) of your transcript. You may submit either an unofficial or official transcript.
This field is optional. You do not have to put anything in it. We know that transcripts never tell the whole story! Click here for some more information about annotating your transcript.
Click or drag a file to this area to upload.
Please upload a PDF of your CV.

After I submit an application, when will I hear from you?

We will contact all applicants with the decision on their applications no later than July 20th, 2022. We will only contact you earlier if there is a problem with your application, in which case we will reach out to fix it.

How are the responses stored and used?

The required demographic questions (i.e., related to gender and intersectionality) and your transcript will be used to determine eligibility for the program. The research statement, personal statement, transcript, and CV are the components of this application that will be evaluated for admission.

The information you submit on this form is stored with SSL encryption on WordPress.com’s servers. They will be downloaded through an encrypted channel onto the Quant-TIDE Administrator’s computer. The files will be stored with encryption on the Administrator’s computer. Applications will be shared with the Application Review Committee and potential faculty supervisors of shortlisted applicants through University of Toronto’s secure One Drive system between July 2, 2022 and July 20, 2022. Members of the Application Review Committee and the potential faculty supervisors will be given a data security checklist.

We will store all application data for a period of one year from the application deadline date of July 15 (i.e., data stored until July 15, 2023). On July 15, 2023, we will delete all individual application data from our servers. We will save aggregated information from the submitted applications, such as the total number of applications and the percentages of applications representing different demographic groups.