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Applications Guide

The following guidelines pertain to 2021-22 recruitment. This page will be updated when applications for 2022-23 Fellows open in Winter 2022

Who are CAnD3 Fellows?

CAnD3 fellows are typically PhD students currently conducting research in population studies and enrolled with a CAnD3 academic partner. However, Master's students and postdoctoral students are also welcome to apply and will be considered for the program on a case-by-case basis. 

Our cohort of CAnD3 Fellows is multidisciplinary, pan-Canadian, and international. At program entry, the ideal cohort will have a mix of basic data analytic skills and knowledge to facilitate peer-to-peer learning and support. Fellow Cohort selection will be made with equity, inclusion, and diversity considerations.   

Please refer to the table below for ideal, minimum requirements to apply to be a CAnD3 Fellow. However, not meeting the minimum requirements for all areas will not affect your application negatively.

Training topic

Details

Prerequisites

POPULATION DYNAMICS/ RESEARCH

Substantive knowledge

Population aging

Interest in drawing or capacity to draw connections between your research and population aging

Population studies/ population research

A previous university course(s) in population studies in at least one of our substantive training axes

Population research

Population Data

Working knowledge of at least one Statistics Canada or other high-quality population survey data source

Interest in other population data sources (administrative data, linked administrative data, social media data, etc.)

Statistical software

Working knowledge of at least one statistical software package (SPSS, MATLAB, STATA, R, SAS)

Statistical modeling

Working knowledge of at least one statistical modeling approach (e.g. linear or logistic regression; fixed/ random effects; structural equation modeling etc.)

DATA SCIENCE

 

Data visualization

Interest in developing data visualization skills

 

 

Programming skills

Interest in developing data science programming skills (e.g. R, Python)

 

Machine learning

Interest in developing machine learning methods (e.g. supervised and unsupervised learning) for population research

KNOWLEDGE MOBILIZATION

 

Data to decision-making

Interest in understanding the decision-making needs of knowledge users (e.g. policy development; policy analysis; policy evaluation; knowledge audiences)

 

Communicating with knowledge users

Interest in expanding communication skills to knowledge user audiences (e.g. writing and presenting for lay and policy audiences)

Strong ability to communicate in English, both spoken and written, is required; French proficiency is an asset

2021-22 Application Requirements

NB. This information is for reference only. The 2021-22 competition is now closed. The 2022-23 competition will open in Winter 2022. 

Application material must be submitted by midnight April 30, 2021. After submitting #1, the online application form, please email requirements #2-5 to cand3 [at] mcgill.ca 

  1. Fill out the Qualtrics application form (now closed) 
  2. A one-page statement of interest with explicit reference to your interests and/or to past experiences related to the main pillars of the CAnD3 training 

  3. Short recent Résumé/CV highlighting relevant previous experiences, with the names and contact information of two references 

  4. Unofficial undergraduate and graduate transcripts   

  5. Letter from academic supervisor (using this template) confirming approval of participation

 

2021-22 Key Application Dates 

March-April 2021 | Accepting applications 

May 2021 | Selected Fellows will be notified

June 2021 | Fellows will have a chance to 'Meet the partners' through a round-robin process

June-August 2021 | Fellows will complete upskilling requirements or recommendations 

September 2021-June 2022  | CAnD3 Training program (N.B. some internships may end in July or August)

Population Analytics in an Aging Society Training

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