|Campus location||McGill University, downtown Montreal|
|Key Working Relationships (internal):||Geography, Institute for Health and Social Policy; Epidemiology and Biostatistics|
|Key Working Relationships (external):||Multiple leading universities in the UK, USA, Canada, and other countries|
|Time frame:||Full-time, 2-year position (renewable after 1 year), to start upon candidate selection|
This is an exciting opportunity for an ambitious researcher to join a dynamic research consortium and carry out innovative research at the cross-section of statistical analysis/modeling, global environment, and health.
The research involves a consortium of leading universities as well as policy agencies throughout the world, and is highly interdisciplinary. We plan to use methods and tools from a range of disciplines to model the impacts of policy scenarios on the environment and health in cities in high- and low-income countries. We have a particular focus on using emerging data and novel methods to characterise cities' environment and health, with emphasis on within-city variations and inequalities. The person appointed to this important post will have a key role in identifying and implementing the consortium's data and analytical strategy for using novel emerging data combined with administrative and other authoritative data sets, to measure and understand cities' social, built, and natural environments, and how people interact with it.
The position will be based in McGill's Department of Geography or at McGill's Institute for Health and Social Policy and work closely with researchers in several departments at McGill. The group is highly interdisciplinary and the post holder will work closely with a range of backgrounds and disciplines in an international group based at McGill and at other leading global universities. The Fellow will also benefit from opportunities for co-advising from world-class investigators in Canada and our partner institutions, attend technical workshops and yearly international team meetings, and participate in domestic and international research exchanges.
The successful candidate must have an exceptional aptitude for analytical and critical thinking about scientific problems, data, and analytical methods; strong programming skills; strong communication capabilities; motivation for problem solving; aptitude for interdisciplinary research and teamwork; and ability to work and learn independently. There will be scope for the post-holder to transition from mentored research to an independent research agenda.
We invite applications from candidates with training in quantitative methods, including demography, epidemiology, economics, or similar. The fellow will use applied statistics / econometrics and spatial analysis to investigate relationships between the urban environment, health, and well-being. An interest in and familiarity with development issues is a plus.
Review of applications will begin on Nov 23, 2018. Shortlisted candidates will be contacted. We welcome applications from indigenous peoples, visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual orientations and gender identities, and others who may contribute to further diversification.
For questions about the research, contact Professors Brian E Robinson or C Barrington-Leigh at McGill