Postdoctoral Fellowship

*** Please note: The deadline for this call has now passed. Thank you to all the applicants and for your interest. The below information is being left up for reference.***

Overview

Applicant Deadline
February 7, 2025, 23:59 ET
Supervisor/Referee Deadline
February 14, 2025, 23:59 ET
Value & Duration
CDN $63,000 for one year, plus up to $7000 towards benefits and a $1500 stipend to assist fellows with presenting their work at scientific meetings or to participate in workshops or courses.
Required Legal Status
Domestic or International

Overview

Value & Duration
CDN $63,000 + up to $7,000 in towards benefits for 1 year
Candidate Deadline
January 23, 2026 23:59ET
Supervisor/Referee Deadline
January 30, 2026 23:59 ET

Purpose

The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data sciences across disciplines to address pressing societal questions and to drive positive social change. DSI is focused on training the next generation of data science scholars. 

DSI Postdoctoral Fellowships support multi/interdisciplinary training and collaborative research in data sciences that include faculty from the University of Toronto and researchers from DSI external funding partner institutions. To be considered for a Fellowship, applicants must pursue a research project that has a data sciences focus, through the development of novel methodology or the innovative application of existing approaches. New for this round, proposed projects must can be categorized within at least one of four methodological pillars (described below).  

Applicants must identify at least two eligible faculty members from complementary disciplinary backgrounds to serve as co-supervisors, who together can supervise the different multidisciplinary aspects of the proposed research project. At least one supervisor should have a track record supporting the training and development of novel statistical or computational tools. Co-supervisors can be drawn from the same academic unit as long as they represent different disciplines and one is focused on the development of a novel methodology. 

The DSI 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, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas. 

Accepted applicants will be expected to participate in the networking activities of the DSI, present their research at the annual DSI Showcase, and provide a yearly activity report and exit survey. Fellows are required to acknowledge the DSI in publications, presentations, and communications resulting from the project.

Pillars

The DSI has surveyed our competitions to this point and has identified four pillars of strength where our research community is dramatically advancing new methodologies. To further build capacity and new collaborations in these areas, we are asking that applicants to our larger competitions categorize their proposed projects within these pillars: 

1. Predictive Analytics & AI 

Projects developing advanced methodologies and AI to predict features or occurrences.  

2. Heterogeneous Data: Tools & Feature Engineering 

Projects advancing methodology that allows for combining structured and unstructured data from different sources or for developing new features for data categorization. 

3. Translation: Visualization, Data Communication, & Policy 

Projects translating data through innovative visualization or other novel methods of communication into actionable insights. 

4. Causal Discovery & Analysis 

Projects developing causal or other advanced methods of analysis for discovery within existing datasets. 

Applicants are free to select more than one pillar; however, they will be expected to substantively demonstrate how their work aligns with the overall competition call for each pillar selected. For example, if a project that clearly aligns with the call by advancing novel or innovative predictive analytics methodologies (pillar 1) also includes a common visualization method for knowledge transfer that on its own would not align with the competition call, the candidate should only select pillar 1 and not pillar 3. Reviewers will be instructed to assess and score each proposal based on its alignment to the overall competition call within the framework of each indicated pillar. 

Co-Sponsored Fellowships 

In this round of the Postdoctoral Fellowship competition, candidates can optionally elect to apply to one of three co-sponsored subcalls if their proposed research aligns. 

DSI-Lawson Centre Postdoctoral Fellowship for Data Science in Child Nutrition 

The DSI is pleased to partner with the Joannah & Brian Lawson Centre for Child Nutrition to co-fund Postdoctoral Fellowships focused on innovative and novel data science in child nutrition. Candidates can indicate that they are applying for the DSI-Lawson Centre Postdoctoral Fellowship for Data Science in Child Nutrition on the application form’s Proposal tab. Please note that in addition to the eligibility requirements for regular Postdoctoral Fellowships, all team members must be Lawson Centre affiliates and can contact child.nutrition@utoronto.ca for confirmation. 

DSI-School of Cities Postdoctoral Fellowship for Data Science in Urban Research 

The DSI is pleased to partner with the School of Cities to co-fund Postdoctoral Fellowships focused on innovative and novel data science in urban research. We are particularly keen to support work that connects to our initial focal themes: (1) climate, justice, and cities; (2) migration, belonging, and thriving; and, 3) inequality, data and democracy. School of Cities welcomes a community of postdocs who meet monthly in a seminar, share data, and collaborate on projects. The School’s facilities are located on the top floor of Myhal, and we offer hoteling and meeting space for our postdoc community. 

Proposals will be evaluated according to the following criteria: 

  1. The relevance of the topic to the School of Cities’ focal themes. 
  2. The potential usefulness of the proposed research for the advancement of scientific or humanistic knowledge and/or the development and implementation of public policy, practice change, or community engagement. 

Candidates can indicate that they are applying for the DSI-School of Cities Postdoctoral Fellowship for Data Science in Urban Research on the application form’s Proposal tab. 

DSI-McLaughlin Centre Postdoctoral Fellowship for Genomics Data Science 

The DSI is pleased to partner with the McLaughlin Centre to co-fund Postdoctoral Fellowships focused on innovative and novel data science in genomics research. Candidates can indicate that they are applying for the DSI-McLaughlin Centre Postdoctoral Fellowship for Genomics Data Science on the application form’s Proposal tab. 

How to Apply

Applicant Eligibility 

Fellowships are open to domestic and international post-graduates. Successful international candidates must meet all Canadian immigration requirements. 

Applicants must: 

  • Demonstrate academic excellence and high potential for success in their chosen fields. 
  • Begin the fellowship between May 1 and December 1 in the year of award. 
  • Have completed all requirements for their doctorate degree by the Fellowship start date. 
  • Must be able to begin the Fellowships within 5 years of their Ph.D. defense. 
  • Not hold a faculty position or be on leave from such a position. 
  • Not hold concurrently another major fellowship. 

Canadian citizens and permanent residents must have completed their Ph.D. requirements no later than six months after their start-date of an DSI Postdoctoral Fellowship. International applicants must have completed their Ph.D. requirements before the start date of a DSI Postdoctoral Fellowship. In each instance, proof of Ph.D. completion must be provided within three months of completion if the applicant did not have it in hand at the time of application. Degree completion does not mean convocation, but rather the completion of all the requirements necessary for the Ph.D. Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement. 

 

Supervisor Eligibility 

An applicant's co-supervisors must have a budgetary appointment* (i.e., they are directly employed) at either the University of Toronto OR a DSI external funding partner institution and: 

  • University of Toronto supervisors must be Members of the University of Toronto School of Graduate Studies and be eligible Principal Investigators, according to the University of Toronto PI eligibility criteria. 
  • External funding partner supervisors must be appointed as a Principal Investigator and be eligible to hold tri-council funding at their institution and be Members of the University of Toronto School of Graduate Studies. 
  • As an ISI, the DSI is meant to seed new collaborations and research with the aim of supporting our community of researchers to secure larger grants from external agencies, which also helps support the university's overall operations. All listed PIs must provide evidence of participation in external Tri-Agency grant competitions and other corresponding external sources as a lead applicant within the past three years. 

*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-Sponsored Streams Eligibility 

 

DSI-School of Cities Postdoctoral Fellowship for Data Science in Urban Research 

Postdoctoral candidates must be supervised by a University of Toronto (tenure or teaching stream) faculty member. Postdoctoral Fellows must be in-residence at the University of Toronto during the grant period. Preference will be given to junior faculty members and faculty from disciplines previously underrepresented at the School of Cities. 

The DSI Postdoctoral Fellowship proposal includes 4 mandatory components: 

  1. Proposal: submitted by the candidate. Includes the proposal and CVs for the candidate and all supervisory team members. Due: January 23, 2026, 23:59 ET. 
  2. Supervisor Form: submitted on behalf of the supervisory team by the Supervisor. Due: January 30, 2026, 23:59 ET.
  3. Letter of Reference: submitted by a referee who is not a member of the supervisory team. Due: January 30, 2026, 23:59 ET. 
  4. Demographic Surveys: Submitted as required by team members for whom the DSI does not have a survey on file. These individuals will be contacted with instructions. Due: January 30, 2026, 23:59 ET. 

All four components must be submitted by the indicated deadlines for the proposal to be complete. Access to components 2-4 requires that component 1 be submitted by the candidate deadline. We recommend that candidates coordinate with their supervisors and referees in advance. The instructions below include detailed breakdowns of what each component entails and how it should be submitted. 

Component 1. Proposal

 

Candidates should navigate to the DSI application portal. Register an account and select “Start Application” for “Postdoctoral Fellowship.” 

 

The application is divided into tabs; each tab includes a set of instructions and fields to fill out. These instructions are also highlighted below. 

 

Applicants will need to complete the following fields. 

 

Tab 1: Start Here 

  • Title 

Please enter a descriptive title for your proposal. Placeholder titles are fine to start the application, but proposals submitted with placeholder titles will fail the administrative review described in Evaluation & Selection below. 

 

Tab 2: Team Information 

 

For each team member, click “Add contributor” and a series of fields will appear. You will need the following information for the PDF and all Co-Supervisors: 

  • Role 
  • Name 
  • Email 
  • Institution 
  • Division (if applicable) 
  • Unit (if applicable) 

Fellowship candidates will also need to indicate their year of graduation and, if different from the unit where the fellowship will occur, their current institution, division, and unit. 

 

A Fellowship proposal should include one fellowship candidate and, at minimum, two Co-Supervisors, one of whom should be designated as the “Supervisor.” Supervisors will help to administrate a granted fellowship and submit the Supervisor Form; as such, they must come from the unit where the Fellowship will take place. In the “Role” field: 

  • For the trainee, select “PDF” 
  • For the Co-Supervisor who will administrate the grant, select “Supervisor.” 
  • For all other Co-Supervisors, select “Co-Supervisor.” 

This form will allow for multiple Co-Supervisors to be added in situations that merit additional team members. Please note the following: 

  • Additional Co-Supervisors beyond the required two (one “Supervisor” and one “Co-Supervisor) are not required. 
  • All listed supervisors must be eligible to hold DSI funding (see Eligibility above). 

Tab 3: Proposal 

 

Optionally select a co-sponsored fellowship subcall. Selecting subcalls does not preclude the fellowship from being funded within the “vanilla” DSI Postdoctoral Fellowship envelope.

 

A. Abstract (maximum 150 words): Provide a short, descriptive summary of the proposed project.

 

B. Keywords: Enter domain and methodology keywords for this proposal.

 

C. Pillars: Categorize your project within at least one capacity-building research pillar. You are welcome to select more than one pillar, but for each indicated pillar you must demonstrate substantive alignment and engagement in E. Project Description.

 

D. Candidate Statement (maximum 500 words): Summarize your suitability for the Fellowship and your training goals. 

 

E. Project Description (maximum 1200 words): Comment on the following:

  • Project rationale and alignment with the DSI mission. 
  • Explanation of how the project is relevant for data science applications by either (a) developing novel statistical or computational tools or (b) making innovative use of existing methods. Candidates must demonstrate substantive engagement and alignment with indicated pillar(s). 
  • If selected, alignment with a co-sponsored subcall. 
  • Research objectives and approach. 
  • Feasibility and timeline. 
  • Impact. 

F. EDI Statement (maximum 500 words): Summarize your capacity and plans to align with the DSI’s EDI statement and advance EDI during your Fellowship. This response can focus on your integration of EDI considerations into your research question and methods; any EDI-related social outcomes from your research; and/or your work promoting EDI in research, training, and mentoring environments relevant to your research program.

 

G. Figures & Supporting Material (maximum 1 page): Include any figures or other supporting material as a one-page .pdf document.

 

Tab 4: Administrative Information 

  • Supervisor Name/Supervisor Email: Provide the full name and email of the Supervisor who will fill out the Supervisor Form on behalf of the supervisory team. This should be the supervisor indicated as Supervisor on the Team Information tab who is appointed where the fellowship will take place. Please do not include Dr. or Prof. in the name field. Please note that the email provided must be used by your supervisor to register with the DSI application portal to submit the form. You may want to check (a) if your supervisor already has a DSI portal/Good Grants account and/or (b) has a preferred email for registration. 
  • Referee Name/Referee Email: Provide the full name and email of the Referee who will submit a letter of reference in support of your candidacy. Please do not include Dr. or Prof. in the name field. Referees cannot be members of your supervisory team. 

Double check that the emails are correct. Typos may cause these forms to miss the deadline. 

 

Tab 5: CVs 

 

Upload CVs for the applicant and all Co-Supervisors on this tab. You must upload a minimum of 3 .pdf CVs to submit your application. CVs have no specified format.

 

Component 2. Supervisor Form 

 

When the candidate submits their proposal on or before the deadline, the Supervisor indicated on Tab 4 will receive an email prompting them to submit the Supervisor Form on behalf of the supervisory team. The email itself is not necessary to access the form; the Supervisor simply needs to create an account or log into an existing account at the DSI application portal using the same email address indicated on Tab 4 and navigate to the Apply (top) or Action Tasks (left) page. 

 

The Supervisor must acknowledge terms and fill out three questions on behalf of the full supervisory team: 

 

Acknowledgement 

As Supervisor, acknowledge the following two items: 

  1. The value of a DSI Postdoctoral Fellowship is $63,000 for 1 year with up to $7,000 towards benefits. Additional funds are the responsibility of the supervisor and/or their unit. 
  2. This submission to the DSI Postdoctoral Fellowship competition has been discussed with the appropriate unit head to ensure that any space and/or resources are available to support the fellowship. 

A. Tri-Agency Active

 

The goal of the DSI and other institutional strategic initiatives is to support new research teams with initial seed funding, enabling new collaborations and research projects to progress to a point where team members can apply for larger, external research funds. For each PI supervisor on your team, provide evidence that they have either secured or applied for one external funding grant as a lead applicant in the past three years. Provide the name of the PI, the agency, and the name of the grant proposal. Your responses to this question will undergo an administrative check, in consultation with your faculty or research institute as required, to determine your team’s eligibility to be funded via the DSI. 

 

B. Co-Supervisors’ Comments: Applicant Potential (maximum 250 words): Comment on the applicant’s research potential.

 

C. Co-Supervisors’ Comments: Research & Training (maximum 250 words): As part of the plan of study, DSI Postdoctoral Fellows are required to gain skills in quantitative and domain specific areas.

 

Describe your roles as supervisor and co-supervisor in training and supporting the applicant’s development of novel statistical or computational tools, or the innovative use of existing methods, for data science applications. 

 

Component 3: Letter of Reference 

 

After the deadline, the referee indicated on Tab 4 will receive an email prompting them to submit a letter of reference. Referees should prepare their reference using this structured template, which should be converted to an unencrypted .pdf file and uploaded via the link provided in the email. We recommend that candidates provide their referees with all materials well in advance of the candidate deadline. 

 

Component 4: Demographic Survey 

 

It is mandatory that all applicants fill out a brief Demographic Survey as part of any DSI application. Team members without a survey response on file will receive an email with instructions to complete this component of the application after the deadline, alongside a confirmation email to the team noting any missing surveys. Applicants with a response on file are always welcome to request a link to update their responses. 

Administrative/Relevancy Review

Due to the high volume of applications submitted to this competition, we cannot accommodate late, incomplete, or erroneous proposals past the deadline. All proposals submitted prior to the deadline undergo an administrative and relevancy review; proposals that fail to satisfy the following criteria will be removed from the competition and will not be sent out for scientific review:

  • The proposal has a descriptive title and includes all components, including the supervisor form and letter of reference.
  • The prospective candidate satisfies all eligibility criteria (see Eligibility above).
  • All supervisors listed on the application form’s Team Information tab are eligible to hold DSI funding (see Eligibility above), and at least one has a track record supporting the training and development of novel statistical or computational tools.
  • The proposal is clearly aligned with the purpose of the competition: applicants must pursue a research project that has a data sciences focus, through the development of novel methodology or the innovative application of existing approaches. In other words, many strong research projects that work with data may not align with this competition. Candidates are welcome to contact awards.dsi@utoronto.ca prior to starting a proposal to see if their prospective project is aligned.

Scientific Review

The DSI will form a Review Committee to lead the review of proposals that pass the above Relevancy review. Reviewers are asked to consider the following categories:

  • Project rationale and the extent to which it aligns with the DSI mission, the call, and indicated pillar(s).
  • The extent to which the training (including co-supervisors from different and complementary disciplinary backgrounds) and project are truly multidisciplinary.
  • The extent to which the proposed project includes the development of novel methodology or the innovative application of existing approaches.
  • The applicant's research record of accomplishment and future potential.
  • The extent to which the project considers how to advance EDI in research and training.

Candidate and supervisor application materials can be submitted directly onto the form. CVs require no specific format. Referees are asked to use the following template:

How to Apply

The award is open to both domestic and international post-graduates. Successful international candidates must meet all Canadian immigration requirements.

Applicants must:

  1. Demonstrate academic excellence and high potential for success in their chosen fields;
  2. Be associated with a supervisor with a tenure or tenure-stream faculty appointment at University of Toronto or as a Principal Investigator eligible to hold tri-council funding at a funding partner institution.
  3. Begin the fellowship between May 1 and December 1 in the year of award;
  4. Have completed all requirements for their doctorate degree by the Fellowship start date;
  5. Must be able to begin the Fellowships within 5 years of their PhD defense;
  6. Not hold a faculty position or be on leave from such a position;
  7. Not hold concurrently another major fellowship.
Canadian citizens and permanent residents must have completed their PhD requirements no later than six months after their start-date of an DSI Postdoctoral Fellowship. International applicants must have completed their PhD requirements before the start date of a DSI Postdoctoral Fellowship. In each instance, proof of PhD completion must be provided within three months of completion if the applicant did not have it in hand at the time of application. Degree completion does not mean convocation, but rather the completion of all the requirements necessary for the PhD.

DSI Postdoctoral Fellows may not concurrently hold another post-doctoral fellowship. Canadian citizens and permanent resident applicants, however, are strongly encouraged to apply for the appropriate CIHR, NSERC, or SSHRC postdoctoral fellowships in addition to their DSI Postdoctoral Fellowship. To provide further incentive to apply to such funding agencies, if an applicant is awarded both a DSI Fellowship and a CIHR/NSERC/SSHRC Fellowship, the DSI will top-up the annual tri-council award to reach the funding level of the DSI award for each of the 2 years.

Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement.

An applicant’s co-supervisors must have a budgetary appointment (i.e. be directly employed) either at the University of Toronto OR an external funding partner institution and:

Faculty budgetary appointments for the University of Toronto are continuing, full-time academic appointments with salary commitments from a University of Toronto academic unit.

Applications are submitted via the DSI Good Grants application portal.

Register an account and select “Start Application” for “Postdoctoral Fellowship.”

DSI Good Grants Dashboard

The application is divided into tabs; each tab includes a set of instructions and fields to fill out. These instructions are also highlighted below.



Applicants will need to complete the following fields.

Tab 1: Start Here

  • Thesis Title
Tab 2: Team Information

For each team member, click “Add contributor” and a series of fields will appear. You will need the following information for the PDF and all Co-Supervisors:
  • Name
  • Email
  • Institution
  • Division (if applicable)
  • Unit (if applicable)
You will also need the following information for the PDF:
  • Current institution, division, and unit if different from the proposed Fellowship
  • Graduation date or expected graduation date
A Fellowship proposal should include one PDF and, at minimum, two Co-Supervisors, one of whom should be designated as the "Supervisor." The distinction between "Supervisor" and "Co-Supervisor" is administrative: Supervisors will help to administrate a granted fellowship. In the "Role" field:
  • For the trainee, select "PDF"
  • For the Co-Supervisor who will administrate the grant, select "Supervisor."
  • For all other Co-Supervisors, select "Co-Supervisor."
This form will allow for multiple Co-Supervisors to be added in situations that merit additional team members. Please note the following:
  • Additional Co-Supervisors beyond the required two (one "Supervisor" and one "Co-Supervisor) are not required.
  • All listed supervisors must be eligible to hold DSI funding (see below).
Tab 3: Proposal Candidate Statement (maximum 500 words): summarize your suitability for the Fellowship and your training goals.

Project Description (maximum 1200 words): comment on the following:
  • Project rationale and alignment with the DSI mission
  • Explanation of how the project is relevant for data science applications by either (a) developing novel statistical or computational tools or (b) making innovative use of existing methods
  • Relevance to the DSI Thematic Programs in Reproducibility or Inequity, if applicable
  • Research objectives
  • Research approach
  • Feasibility and timeline
  • Impact
EDI Statement (maximum 500 words): summarize your capacity and plans to advance EDI during your Fellowship. This response can focus on your integration of EDI considerations into your research question and methods; any EDI-related social outcomes from your research; and/or your work promoting EDI in research, training, and mentoring environments relevant to your thesis program.

Figures & Supporting Material (maximum 1 page): upload a 1-page .pdf with figures and supporting material.

Tab 3: Administrative Information
  • Name and email for the proposal supervisor who will fill out the supervisor form.
  • Name and email for the referee who will upload a letter of reference.
Tab 4: CVs

Using the provided template, upload CVs for all team members. You must upload a minimum of three CVs.

Once the applicant has submitted their component of the application on or before January 13, the following things occur:

Supervisor Form

The Co-Supervisor indicated on the tab “Administrative Information” will receive an email requesting that they log into Good Grants to fill out the Supervisor Form. This form includes three components:

Applicant Potential (maximum 250 words): comment on the applicant’s research potential.

Research & Training (maximum 250 words): As part of the plan of study, DSI Doctoral Student Fellows are required to gain skills in quantitative and domain specific areas, depending on their primary program of enrolment.

Please describe your roles as supervisor and co-supervisor in training and supporting the applicant’s development of novel statistical or computational tools, or the innovative use of existing methods, for data science applications.

Unit Head Signature: Using the provided template, upload Unit Head signatures for all listed Co-Supervisors on the application.

Letter of Reference

The Referee indicated on the tab “Administrative Information” will receive an email requesting that they log into Good Grants to upload a Letter of Reference. They should use the provided template.

Demographic Survey

The applicant will receive a confirmation email that includes a link to a Demographic Survey. While this survey is required for each team member, when filling it out respondents have the option to select “Prefer not to answer” for all questions.

While the supervisor and referee have until January 20 to submit their components of the application, and all team members have until January 20 to submit their Demographic Survey, we recommend providing your referee with the template and notifying your Supervisors about their components of the application in advance of submitting your portion.

The DSI will form a Review Committee to lead the review of all eligible proposals received by the submission deadline. Reviewers are asked to consider the following categories:

  • Project rationale and the extent to which it aligns with the DSI mandate including, if applicable, alignment with the DSI Thematic Programs in Reproducibility or Inequity.
  • The extent to which the training (including co-supervisors from different and complementary disciplinary backgrounds) and project are truly multidisciplinary.
  • The extent to which the proposed project includes the development of novel methodology or the innovative application of existing approaches.
  • The applicant's research record of accomplishment and future potential.
  • The extent to which the project considers how to advance EDI in research and training.

All application materials can be submitted directly onto the form. Certain fields on the form ask for uploads and require the following templates:

Co-Sponsors

Past Recipients

To see what our current Postdoctoral Fellows are working on, click here.

Further Information

Information session:

Date: December 10 2025
Time: 10:30 am – 11:30 am
Learn more and register

For more information, please contact awards.dsi@utoronto.ca.