OverviewWildland Fire/ Environmetrics Research Scientist (Postdoctoral Research Program) Internship in Victoria, BC
Branch Victoria BC CA
Wildland Fire/ Environmetrics Research Scientist (Postdoctoral Research Program)
Understanding and predicting such “megafires” is an area of intensive current research in the fire science community and important to public safety….
Natural Resources Canada (NRCan) is looking for a postdoctoral researcher to develop and apply statistical methods to predict the occurrence and duration of severe wildfires in Canada. The researcher will work with fire scientists from NRCan and statisticians at NRCan and at Western University, London, ON, as part of the interdisciplinary “Severe Wildfire Risk Prediction” project.
We seek a statistician or a quantitative environmental scientist with expertise and interest in statistical methods relevant for atmospheric/environmental sciences. The position offers an excellent environment for working with a highly skilled interdisciplinary team in NRCan and at Western University. The expertise of team members includes applied statistical modelling, biometrics, smoothing and generalized additive models, spatial statistics, stochastic processes, survey statistics, survival analysis, climate analyses, and wildfire behavior and occurrence prediction. The successful candidate will focus on the analysis of the influence of weather and other fire danger variables on the occurrence and duration of severe fires and the development of predictive models for such occurrence. Understanding and predicting such “megafires” is an area of intensive current research in the fire science community and important to public safety.
The position requires developing and applying a combination of statistical methods such as spatio-temporal statistics, extreme value analysis, survival analysis, machine learning, and possibly Bayesian methods to estimate the probabilities of climate events under different scenarios. A key focus will be to quantify the uncertainty in the probabilities in light of a wide variety of sources of uncertainty. The researcher will evaluate, extend and implement existing methods and develop new statistical frameworks and methods to predict the occurrence and duration of wildfires in relation to forecasted weather and other explanatory variables. The researcher will work with fire scientists to apply and to weather forecasts and implement them within in a wildfire information system.
- • PhD in statistics or environmental sciences to be completed within the last 3 years and as of the start date for this positio
- • Experience in planning and conducting researc
- • Experience in working with a team of researchers and support staf
- • Excellent written and oral communication skills.
Additional Desired Qualifications
- : • Ability to use R or
- S • Ability to manipulate large datasets and data bases and carry out efficient computat
- n • Experience in one or more of the following areas: categorical data analysis, generalized additive models / functional data analysis, statistical learning, spatial statistics, survival analysis, Bayesian statist
- s • Experience in environmental, forest or atmospheric science, forest scien
S: Additional Salary Information: Government of Canada benefits package over and above salary; annual increment if position continues beyond one
Employment Type: Internship
Location: Victoria, BC, CA
Posted on: 2015-08-17