Funded MSc, mineral dust transport, Montréal, Canada

A funded MSc Opportunity for the modeling of mineral dust transport at the last glacial maximum is available at the Department of Geography, Université de Montréal, Canada.


The selected candidate will work with Dr. James King (Geography) and will receive a funding package for the two years of their graduate degree, comprising of a mix of bursaries and teaching/research assistantships.

The preferred start date is September 2018.


The MSc graduate position is part of a broader FRQSC-funded project under the Hominin Dispersals Research Group which studies the interaction between hominids and their environment with the goal to understand the impact of environmental variability in the evolution of both the culture and biology of humans.

The results of this research program will help fill significant gaps in our understanding of the fate of Neanderthals and the history of human colonisation of Europe as well as contributing to a better understanding of the range of reactions human societies display in the face of climate change with implications for the future.


The specific objectives of the project are:

- to use high-resolution climate simulations (14 km2) to create detailed, dynamic spatial models of the geographic distribution of modern human and Neanderthal populations in Western Europe during the last glacial period to track the responses of Neanderthal and modern human populations to environmental change at a critical period in their biological and cultural evolution
- to evaluate the relative importance of two hypothetical dispersal routes for modern humans entering Western Europe: 1) the Middle Danube and the Rhône valley corridor; 2) the Mediterranean route, which connects coastal Italy (Liguria) to France and the Iberian Peninsula.


The ideal candidate should have strong analytical skills, including knowledge of data analysis tools (e.g. ArcGIS, QGIS, PCI geomatica, ENVI/IDL, FORTRAN, etc) and statistical analysis (e.g. R, Matlab, etc).

The project involves intensive computational/analytical components in coordination with empirical studies, thus preference will be given to those with experience in (or the willingness to learn) field data collection and computer programing (e.g. FORTRAN, python, etc).


If interested, please send (1) your CV, (2) your grade-point averages for your previous programs (transcripts) and (3) a brief statement of qualifications for this position to: This email address is being protected from spambots. You need JavaScript enabled to view it.. Please consult the department website, the HDRG website, and that of Dr. King, to learn more about the departments and the project.

Deadline for applications is Friday 29 June.