The CAnD3 Annual Report is here!

Applications Guide

Who are CAnD3 Fellows?

Please carefully read the following before continuing. Due to the requirements of our funding agency, CAnD3 Fellows must be enrolled in a population studies field at one of the CAnD3 academic partners (see official academic partners list). They are typically PhD students currently conducting research in population studies. However, Master's students and Postdoctoral students from population studies disciplines are also welcome to apply and will be considered for the program on a case-by-case basis. Undergraduate students are unfortunately not eligible to apply. Each of our university partners is undergoing their own recruitment process so please be sure to review this document to see if you are eligible to apply, and if yes, to whom you should send your application to.

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. Each university partner determines the application process for each institution.     

Please refer to the Fellow Recruitment Profile matrix 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.

Fellow Recruitment Profile Matrix

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

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; programs & services)

 

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

2022-23 Application Requirements

All application material (5 items below) must be submitted by midnight Eastern Time Monday, April 18, 2022.

After submitting #1, the online application form, you should email requirements #2-5 to cand3 [at] mcgill.ca (subject: CAnD3%20application) with "CAnD3 application" in the subject line

  1. Fill out the application form (Qualtrics)  
  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 and the above profile matrix

  3. A short, recent Résumé or CV highlighting relevant previous experiences (work, research & volunteer experience), with the names and contact information of two references 

  4. Unofficial undergraduate and graduate transcripts (all)   

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

2022-23 Key Application Dates 

Feb-Apr 2022 | Accepting applications 

May 2022 | Selected Fellows will be notified

May-Jun 2022 | Fellows will have a chance to 'Meet the partners' through a round-robin process

Jun-Aug 2022 | Fellows will complete upskilling requirements or recommendations 

Sep 2022-Jun 2023  | CAnD3 Training Program

Sep 2022-Aug 2023 | Internships with partners (remunerated) or Applied research project (non-remunerated). Duration & content are negotiable

Sep 2023 | Presentation of CAnD3 deliverable (e.g. ePortfolio)

Ready to become a CAnD3 Fellow?

Reach us at cand3 [at] mcgill.ca if you have any questions.

Population Analytics in an Aging Society Training

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