Graduate Student Application @ Concordia University

Graduate Student Application

Concordia University, Gina Cody School of Engineering and Computer Science, Department of Mechanical, Industrial and Aerospace Engineering
Research Group Director: Dr. Yassine Yaakoubi (CV).

Based at Concordia University (Montreal, Canada), our research group maintains several affiliations, including GERAD (Group for Research in Decision Analysis) and the Applied AI Institute, as well as partnerships with McGill University, Polytechnique Montréal, and Mila (Quebec AI Lab) for collaborative research projects.

Financial Support Information:
- Details of tuition fees: http://www.concordia.ca/admissions/tuition-fees/calculator.html
- MASc students: a minimum financial support of $12K/year guaranteed for two years.
- PhD students: a minimum financial support of $20K/year guaranteed for three years.
- Entrance awards: https://www.concordia.ca/gradstudies/funding/entrance-awards.html
- International tuition award of excellence to reduce PhD tuition fees for international students to the Quebec rate: https://www.concordia.ca/gradstudies/funding/entrance-awards/international-tuition-award-of-excellence.html
- Graduate students will also be encouraged to apply for teaching assistantships (<20 hrs/week, 280 hrs/semester): https://www.concordia.ca/ginacody/mechanical-industrial-aerospace-eng/about/jobs.html#ta
First Name*
Last Name*
Email Address*
Concordia student ID number (if available)
Position Applying For*

MASc positionPhD positionPostDoc positionInternshipOther
Are you a Canadian citizen or permanent resident?*

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Ideal start date

YearMonthDay
Country of Residence*
Country of Citizenship*
Upload your CV Here*

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Transcripts (Soft Copies - Unofficial)*

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Research Statement (if available)

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Research Proposal/Plan (if available)

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Additional Documents (if available)

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Fields of expertise*
Link to Google Scholar (if available)
If you have a ‘non-standard’ academic pathway, please highlight any special circumstances that might have impacted your academic/research performance.
Additional information you would like me to know.
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