1. Eligible applicants include all professorial staff eligible to hold research funding at the University of Toronto (U of T) or at the external funding partner and must satisfy the additional eligibility criteria below.
2. Applicants must have a budgetary appointment at U of T or at a DSI external funding partner. Faculty budgetary appointments for the University of Toronto are continuing, full-time academic appointments with salary commitments from a University of Toronto academic unit. Co-supervision is allowed and encouraged, but for funding purposes, one supervisor must be designated as the primary supervisor who holds the funds.  
3. Applicants must be members of the DSI.

• Proposed research should be focused on data sciences methodology or applications in any research area.
• Research opportunities can include any aspect of basic, applied, or clinical research.
• We are accepting applications for data science-related research opportunities that can be carried out either in person, remotely, or a combination of both.
• Supervisors must ensure that the students they're working with submit a one-page abstract of their progress towards the research findings to the DSI before the DSI Research Day.

Applications will be assessed by using the criteria outlined below:

• The proposed research opportunity including its relevance to data sciences.
• The training environment in which the student will carry out their research.

• Summer studentships will be available to undergraduate students enrolled at a Canadian university/college to carry out summer research.
• The list of SUDS opportunity descriptions will be posted on the DSI website on December 19, 2022, for student applications.

Award Value

$7,200 will be provided by the Data Sciences Institute to the supervisor for the student. Any supplement above this level may be set at the supervisor's or department's discretion. 

Award Duration

12 full weeks in the summer term, between May 1, 2023, and mid-August, 2023. Start dates and end dates are agreed upon for each student and supervisor.