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Multidisciplinary Doctoral Training Program at the U of T Department of Statistical Sciences

About

The Department of Statistical Sciences (DoSS) at the University of Toronto and CANSSI Ontario have partnered to offer doctoral positions through a Multidisciplinary Doctoral (Mdoc) training program in the DoSS.

Funding

The funding package is the same as for other DoSS doctoral students, including TA assignments.

Structure

  1. CANSSI Ontario Mdocs will have two (2) research supervisors: one from the DoSS and another from another academic unit at the University of Toronto or at an affiliated research institute or hospital.
  2. Research and training of CANSSI Ontario Mdocs is expected to be multidisciplinary and data-driven.
  3. Research outputs are to include publication(s)/submission(s) in the (scholarly) domains of both supervisors.

Eligibility

One supervisor must have an appointment in DoSS.

The other co-supervisor can also be appointed to DoSS, as long as they represent different disciplines. Alternatively, the co-supervisor can be from:

  • another department within the Faculty of Arts & Science at U of T,
    • a different U of T faculty, or
    • a University-affiliated research institute or hospital.

International or domestic students admitted for doctoral studies in the DoSS.

Deadlines

Project submissions: October 15, 2024

Faculty members who wish to supervise a CANSSI Ontario Mdoc will submit a multidisciplinary project proposal by October 15, 2024. Application instructions and requirements are listed below.

Doctoral applicants to the DoSS should opt to be considered for a CANSSI Mdoc in their online application for doctoral studies. Their application for doctoral studies will be reviewed and chosen by faculty members with an approved CANSSI Mdoc proposal, if applicable.

How to Apply

CANSSI Ontario invites supervisors to propose research projects to this program.  Supervisors with approved projects will select students admitted to the DoSS doctoral program who noted interest in the Mdoc program in their graduate school application. 

Each year as many as three students may be accepted as CANSSI Mdocs from the students who apply for doctoral studies in the DoSS.

The DoSS Mdoc program welcomes interest from students with strong backgrounds in mathematics, statistics, or related disciplines from colleges and universities in Canada and Internationally.

  1. the motivating problem (1 page);
  2. the data that will be used in the project proposal (1/2 page);
  3. the names, positions, a relevant publication reference, and research expertise of the supervisors (1/2 page); and
  4. an explicit multi-disciplinary training plan (1 page). Please also mention if this is a new or existing collaboration between the proposed faculty supervisors. The training plan does not require that the student be enrolled in course work from a second domain outside of the DoSS, but a plan must be in place to ensure adequate training in the domain-specific area of application can be achieved.
  5. Since this award only supports the student funding package, the proposal should include a statement on the budget required to complete the project and the source of funds in place to cover these costs (if applicable). 

CANSSI Ontario will match up to three students to an approved research project/supervisory team.

Click here to access the online application form.

In the online application for doctoral studies in the DoSS there is an option to click if you are interested in the CANSSI Mdoc program.  Interested applicants should choose this option in their doctoral studies application form. Accepted applicants for doctoral studies in the DoSS who expressed interest in the Mdoc program will be considered for approved faculty Mdoc projects.

Benefits

Each selected trainee is eligible to receive up to $2,000 in travel awards per fiscal year. This funding is designed to support their academic and professional development opportunities.

Expectations

  • Mdocs are expected to:
    • report yearly (by July 1) on their progress, with specific reference to their multidisciplinary training plan and progress towards scholarly output in their respective training fields.
  • • contribute to a CANSSI-Ontario research day.
  • • participate in  workshops, networking and training events.

FAQ

CANSSI Ontario Mdocs have the PhD program requirements of their chosen DoSS field, but will have two research supervisors, one from the DoSS and a second from another academic unit. The supervisor from the second field could be appointed in another department in the Faculty of Arts and Science, in another University of Toronto Faculty, or in one of the affiliated research institutes or hospitals. The research and training of a CANSSI Ontario Mdoc is expected to be multidisciplinary and data-driven, with research output that includes publication or submission to the scholarly domains of both supervisors.

Faculty members who wish to supervise a CANSSI Ontario Mdoc will submit a multidisciplinary project proposal to CANSSI Ontario by November 15, 2022. The applications will be adjudicated by a CANSSI Ontario appointed grant review panel. Notification of approved proposals will be sent out prior to the graduate admissions committee meeting. Doctoral applicants who opted to be considered for a CANSSI Ontario Mdoc will be reviewed and chosen by the faculty members with approved CANSSI Mdoc proposals, for project suitability.

Supervisors' Online Application
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Past Recipients & News

Announcing CANSSI Ontario’s 2022 cohort of Mdoc Program Trainees: Ruyi Pan

Ruyi Pan is a PhD student in the Department of Statistical Sciences (DoSS), working under the joint supervision of Dr. Jun Young Park (DoSS and Department of Psychology), Dr. Nancy Reid (DoSS), and Dr. Aristotle N. Voineskos (Department of Psychiatry and Center for Addiction and Mental Health (CAMH)). Together, they will work on the Mdoc project “Integrative approaches in neuroimaging data analysis with applications to brain disorders”. They are dedicated to developing statistical methodologies tailored for the integrative analysis of diverse neuroimaging data, including but not limited to fMRI, sMRI, and dMRI, to unlock valuable insights within different brain disorders. Ruyi’s research interests are high-dimensional statistics and statistics theory applicable to neuroimaging data. She obtained her Master’s degree in statistics at the University of Toronto. Prior to that, she received her BA in computer science at the University of Waterloo. Currently, Ruyi is working on statistical inference on multi-modality data. In parallel, she actively contributes her expertise as a data analyst at CAMH and enriches her domain knowledge of neuroimaging study. CANSSI Ontario launched the Multidisciplinary Doctoral (Mdoc) Training Program in the DoSS in 2019. Students admitted to the Mdoc Program can be domestic or international and will receive the same funding package as the other doctoral students entering the DoSS including Teaching Assistant assignments. Learn more. Recent News SHARE THIS POST Share on facebook Share on twitter Share on

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Esther Berzunza October 17, 2023
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