[Met-jobs] Climate Extremes Analyst with Environment and Climate Change (Canada)

Forwarded from CLIMLIST…

Climate Extremes Analyst
Environment and Climate Change Canada – Climate Data and Analysis
Section, Toronto (Ontario)
PC-03 Indeterminate
Closing date: 15 November 2016 – 23:59, Pacific Time

A physical scientist (PC-03) position is available in Climate Research
Division (CRD) for a highly qualified individual to undertake applied
research on climate variability and extremes, focusing in particular on
supporting efforts to develop climate-resilient codes and standards, and
the tailoring of climate information for engineering and infrastructure
design. The position will also involve a strong liaison role with groups
such as Standards Canada, National Research Council Canada, and other
federal departments, as well as the ability to consult with scientists
both within and outside CRD on the state of the science around climate
extremes. Research will be performed in close collaboration with
scientists at CRD, universities, regional climate consortia, and
national institutions. Specific objectives of the position will include
research on historical estimation and projection of changes in rainfall
intensity-duration-frequency (IDF) curves, probable maximum
precipitation, and other precipitation extremes, as well as climate
design data for building codes. The work will involve manipulation of
large volumes of observed and climate model data, as well as development
and use of advanced statistical and mathematical methods to analyze
data. The incumbent will be expected to be able to communicate applied
research findings and the state of climate science to users in the
climate impacts and adaptation communities and provide leadership on CRD
projects related to codes and standards.

Essential qualifications:

* Graduation with a degree from a recognized post-secondary institution,
with acceptable specialization in physics, chemistry, meteorology,
statistics, climatology, or some other science relevant to the position.

* Experience in conducting in-depth, applied research related to the
analysis of climate model output and/or climate observations, focusing
particularly on climate variability and climate extremes (as evidenced
by contributions to relevant reports and/or peer-reviewed publications).

* Experience in developing and applying advanced analysis methods
(including statistical techniques) in climate research.

* Experience working with an interdisciplinary team of researchers or
support staff in a leadership role.

* Experience communicating scientific findings to the climate impacts
and adaptation community, both orally and in writing.

Other qualifications:

* Graduation with a graduate degree (Master’s or Ph.D.) from a
recognized post-secondary institution with acceptable specialization in
one or more of: the study of climate extremes represented in climate
observations or global and/or regional climate models, evaluation of
climate models, or the study of extreme precipitation.

* Experience working directly with the climate change impacts and
adaptation community, professional engineers, regional climate
consortia, or other relevant stakeholders in Canada on projects related
to climate change and precipitation.

* Occasional requirement to travel

Essential for the job:

* English essential

* Knowledge of atmospheric climate science, with an emphasis on climate
variability and extremes.

* Knowledge of how climate data, scenarios, and information is used
within the climate impacts and adaptation community to support impacts
and adaptation studies and engineering climatology (e.g., rainfall IDF
curves and probable maximum precipitation).

* Knowledge of statistical and mathematical methods for climate
analysis, especially for analysis of extremes.

* Ability to program using R and Python.

* Ability to work in the Unix shell, especially in a cluster computing
environment

* Effective interpersonal skills

* Judgment

* Initiative

May be needed for the job:

* Knowledge of the Government of Canada’s priorities with respect to
climate change adaptation and climate resilience.

* Ability to manipulate and analyze very large datasets, in particular
those stored in NetCDF format.

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