Enclosed below an advertisement for a postdoctoral research scientist position in Environmetrics with Natural Resources Canada that may be of interest to recent (or soon to be) PhD Statistics graduates. Please forward/circulate to potential candidates.
Douglas Woolford, Ph.D., P.Stat.
Scientist – SE-RES-1 (Postdoctoral Research Program)
Canada, Pacific Forestry Centre, Victoria, B.C.
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.
- Develop and apply statistical methods for prediction of the occurrence
and duration of severe wildfires.
- Evaluate the uncertainty in model forecasts due to forecast error and
- Compare predictions to past observations to evaluate the fidelity of
models and examine the risk of model failure (false negatives)
- Produce and deliver oral and written presentations of scientific
- Work effectively in a large and integrated team.
- PhD in
statistics or environmental sciences to be completed within the last 3 years
and as of the start date for this position
in planning and conducting research
in working with a team of researchers and support staff
- Excellent written
and oral communication skills.
Additional Desired Qualifications:
- Ability to
use R or SAS
- Ability to
manipulate large datasets and data bases and carry out efficient computation
in one or more of the following areas: categorical data analysis, generalized
additive models / functional data analysis, statistical learning, spatial
statistics, survival analysis, Bayesian statistics
in environmental, forest or atmospheric science, forest science
How To Apply:
Successful candidates will be hired as
term SE-RES-1 employees
(salary range: $53,161 - $69,942).
This is a
1-year term position with the possibility of renewal for a second year based
upon satisfactory job performance and continuing availability of funds. The
position will be initially located in Victoria, BC, with the possibility of
relocation to Western University, London, ON, in a second year. The anticipated start date is September 2015.
- Steve Taylor, Pacific Forestry Centre,
Canadian Forest Service - Steen Magnussen, Pacific Forestry
Centre, Canadian Forest Service - Mike Wotton, Canadian Forest Service
& University of Toronto - Douglas Woolford, Western University
- Charmaine Dean, Western University
Reliability Status security clearance
Research Program (PRP) inventory list will be open for 5 years.
The PRP provides scientists
with the opportunity to work with research groups or leaders in Canadian
government laboratories and research institutions. In turn, the Government of
Canada benefits from new and emerging talent. This new pilot program
replaces the Visiting Fellowships in Canadian Government Laboratories
Program that was previously administered by NSERC on behalf of
Canadian government laboratories.
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