Research program title
Practical and advanced models to understand, predict, manage and preserve biodiversity in an era of global change
We are seeking a highly motivated postdoctoral fellow to advance the development and applications of a new generation of biodiversity forecasting models. We aim at combining biodiversity, spatial ecology, and climate change sciences with advanced statistics to develop biodiversity predictors based on complex spatial and temporal variation of landscapes and climate. The overall goal is to improve our knowledge and projections for biodiversity changes that are applicable to local, large and global scales. The position will be based at Concordia University (Montreal, Canada) and the research offers an outstanding opportunity for collaborating with our large network of national and international organizations including academic institutions, government agencies and stakeholders. The fellow will be a member of the Quebec Centre for Biodiversity Studies and be considered to become a fellow of the NSERC-CREATE training program in Computational Biodiversity Science and Services.
Academic qualifications required
A PhD in ecology, quantitative ecology, ecoinformatics, environmental sciences and/or conservation biology; applicants should also be team-oriented and autonomous, and have a strong publication record and demonstrable quantitative and programming skills (e.g., forecasting models, R environment, ecoinformatics).