Posted: October, 2019
Anticipated start:  Winter (January) or Fall (September) term 2020
Supervisory team: Stephan Gruber (Carleton University), Alex Cannon (Environment and Climate Change Canada), Fabrice Calmels (Yukon Research Centre) and Shawn Kenny (Carleton University)

This project will produce and evaluate permafrost data products such as ground temperature and subsidence for the recent past and for future climate scenarios. The products are intended to be useful for a broad range of stakeholders. Simulation ensembles will be driven by climate data, for example from re-analyses and CMIP6, and use the new ground ice potential and geotechnical permafrost base map of Canada that will be generated in PermafrostNet. Different user interest will be addressed by generating three types of data: (1) detailed time series that can be related to individual sites, (2) regional or national maps, and (3) boundary conditions for driving geotechnical and hydrologic models. In the ensemble simulations, model quality will be estimated via the spread of results directly, and via their skill based on the work of two other PhD projects and a new database of permafrost observations generated within PermafrostNet. This project will produce novel data products and insight by using constrained model confidence, by simulating at a scale fine enough to predict local phenomena and by incorporating an improved data set of ground ice potential and geotechnical characteristics. The products developed here will serve as prototypes for informing future climate services provided in Canada.

This fully funded PhD studentship will be based at Carleton University in Ottawa, Canada. As part of PermafrostNet, the new Permafrost Partnership Network for Canada (, it will have an outstanding training environment.

The successful candidate will have a master’s degree in a relevant discipline, e.g., geography, Earth science, geophysics, atmospheric science, environmental engineering or geotechnical engineering; demonstrated skill in programming and data analysis; as well as excellent written communication in English.

This PhD studentship is fully funded for twelve months per year. For international students with demonstrated academic excellence, our graduate program usually has competitive additional funding to offset increased tuition per year.

APPLICATION: Send a cover letter, c.v., copies of transcripts, a writing sample, and contact details for three references to Stephan Gruber (