McGill University
Montreal, Canada
Deadline date: 15/12/2013
Description
The Computational Landscape Ecology group at McGill University is seeking MS and PhD students interested in computing-intensive landscape ecology applications. Students will join a dynamic and growing lab of graduate and undergraduate students working on a wide range of landscape ecology projects that demand a heavy component of computing power, including:
- Forest connectivity estimation and validation at regional and continental scales, using Circuitscape.
- Regional estimation of lake carbon content with remote sensing, GIS, and Bayesian stats in 10**6 lakes in Quebec.
- Use of Google Earth Engine for estimation of landscape-scale patterns across very large areas.
- Spatial and statistical patterns of landscape metrics at continental and regional scales.
Requirements
Successful candidates will have strong to moderate programming experience, ideally in R or Python or a similar language like Matlab or Java. Depending on the project, specific experience with certain tools will be of especially high value, including: remote sensing, GIS, simulation modeling, data mining techniques in very large data sets and coursework in statistics. Canadian students who would be eligible for federal and provincial scholarships are given high priority.
More information and applications
Interested students should send the following:
- a letter explaining your interests
- a CV
- an unofficial grade transcript
and the names of three references to:
Associate Professor Jeffrey Cardille, jeffrey.cardille@mcgill.ca
No comments:
Post a Comment