PhD Offer: Health effects of the built and social environment
The Concordia Longitudinal Risk Project (CLRP) is an ongoing, multi-generational longitudinal study (over 10,000 persons across 3 generations since 1976). The PhD student will use a combination of Geographic Information Systems (GIS) data and linked administrative datasets to investigate the environmental influence on physical and mental health over time. This position provides opportunities for collaborative work with epidemiologists, geographers, psychologists, and statisticians.
The individual who is selected for this position will work under the supervision of Dr. Lisa Kakinami (https://www.concordia.ca/artsci/math-stats/faculty.html?fpid=lisa-kakinami) at Concordia University. The candidate is welcome to pursue one of several streams of inquiry related to the built environment, socioeconomic status, and/or health. In delivering the project, the PhD will work on a variety of research-related aspects of the study including:
- Data management
- Epidemiological analyses
- Structural equation modeling
- Advanced statistical learning methodologies (such as classification, longitudinal/correlated data analyses, and machine learning)
- Grant writing
- A Master’s degree in a related discipline (e.g., Epidemiology, Statistics, Psychology, Medicine)
- Demonstrated experience conducting research in at least one of the following areas:
- Built environment
- Cardiovascular or other chronic diseases
- Longitudinal study analyses
- Multigenerational study designs
- Socioeconomic position
- Effective oral and written communication skills. Fluency in English (verbal and written) is required; fluency in French is an asset.
- Excellent interpersonal skills
- Demonstrated research productivity (e.g., conference presentations, peer-reviewed publications, master’s thesis, honours thesis)
- Ability to work autonomously, as well as part of a large multidisciplinary team of collaborators
Preference will be given to candidates with:
- Experience with statistical methods and ability to work with analytic software (such as R, SAS, SPSS, Mplus)
- Openness to learning new methods and techniques
Provincial, national and international candidates are encouraged to apply
Start date, duration, and stipend:
The PhD will start in September 2021; funding has already been received.
The funding package consists of a minimum 4-year stipend (consistent with Fonds de Recherche du Quebec funding levels) plus conference / training funding. For out of province and international candidates there are also tuition waivers potentially available.
The successful candidate will be at Concordia University in the Department of Mathematics and Statistics, or the Department of Health, Kinesiology, and Applied Physiology (www.concordia.ca) the actual work would be conducted at the Research Data Access Point (https://stat.gouv.qc.ca/research/#/a-propos/guichet-acces-donnees).
To apply, please forward the following:
- A complete curriculum vitae, including summary of GPA’s, a full publication list (including hyperlinks where possible) and email contact details for two referees
- A letter of motivation and statement of research accomplishments and future research goals
- An example of written research work
How to apply:
- The complete application package must be emailed to: email@example.com. Please include “PhD in the built and social environment” in the subject line.
- Queries about the application should be sent to Dr. Kakinami (firstname.lastname@example.org).
- The closing date for receipt of applications is Friday December 4, 2020, 5 pm EST. Interviews will be conducted across December 2020 and January 2021 and the successful candidate will need to apply to the University by the official application deadline.