This postdoctoral position will investigate predictors of bird and bat mortality at wind energy installations. The position will be based at Trent University, supervised by Dr. Christina Davy in partnership with Bird Studies Canada. This project leverages the Wind Energy Bird and Bat Monitoring database, which is managed by Bird Studies Canada. This is the largest database on wind-wildlife interactions in Canada and provides excellent opportunities for landscape-level analyses.
This one-year position involves targeted data analysis, and written and oral communication of results. There may also be opportunities to collaborate on field-based studies or to gain experience with field methods during this time.
Applications due: July 10, 2019 Start date: September 9, 2019 (some negotiation possible)
Qualifications and Experience:
• Ph.D. in biology, or statistics with a working knowledge of biology;
• Proven ability to design, manage and analyse large databases;
• Recent and significant experience applying innovative statistical approaches using advanced statistical software for the analysis of complex biological datasets;
• Recent and significant experience writing and publishing scientific papers involving wildlife data;
• Working knowledge and broad understanding of bat or bird ecology and related conservation issues;
• High level of organization and initiative, with strong interpersonal, oral and written communication skills; and
• Demonstrated passion for collaborative conservation science, and for producing excellent science that can inform policy decisions.
• Knowledge of the wind energy industry in Canada;
• Recent and significant experience working collaboratively with teams of scientists and stakeholders; and
• Experience using hierarchical Bayesian models to analyze wildlife data, taking into account spatial and/or temporal structure.
To apply, please send a CV, letter of interest, and contact information for two references to Dr. Christina Davy (Trent University / Ontario Ministry of Natural Resources and Forestry) at firstname.lastname@example.org. Applications are due by July 10, 2019.