---------- Forwarded message ----------
From: CLIMLIST <[email protected]>
Date: Mon, Sep 9, 2013 at 8:48 AM
Subject: Vacancy: Statistical Modelling Analyst Position at the Pacific
Climate Impacts Consortium (Canada)
To: climlist group <[email protected]>
Origin: PCIC <[email protected]>


Hello,

PCIC is currently seeking to hire a Statistical Modelling Analyst. The
Statistical Modelling Analyst will analyse and model regional climate data
as part of a multi‐disciplinary team consisting of PCIC climatologists and
research collaborators. The incumbent will provide the primary support to
quality check, analyse, model, and document near surface temperature data
from a dense station network in the Okanagan basin, British Columbia.

This is a full-time, six month term commitment.

Application: Please send your application with a CV, including three
professional references. Address cover letter and application to Alex
Cannon, <[email protected]>, with “ATTN: Statistical Modelling Analyst
Position” in the subject line. Please indicate whether you are legally able
to work in Canada.

Closing date: September 25th 2013.

Please visit 
<http://www.pacificclimate.**org/about-pcic/careers<http://www.pacificclimate.org/about-pcic/careers>>
or see below and attachment for more details.Job Posting: Statistical
Modelling Analyst

Closing Date: September 25th 2013

PCIC is seeking to hire a Statistical Modelling Analyst

Pacific Climate Impacts Consortium (PCIC)

The Pacific Climate Impacts Consortium (PCIC) was created to assess climate
impacts in the Pacific and Yukon Region of Canada. The goals of the
Consortium are to foster collaborative research, to strengthen the capacity
to address regional climate change and variability, and to provide the
scientific basis for development of policy. PCIC is a regional climate
service centre at the University of Victoria that provides practical
information on the physical impacts of climate variability and change.
Through collaboration with climate researchers and regional stakeholders,
PCIC produces knowledge and tools in support of long-term planning. See
http://www.PacificClimate.org for more information.

Challenge

The Statistical Modelling Analyst will analyse and model regional climate
data as part of a multi‐disciplinary team consisting of PCIC climatologists
and research collaborators. The incumbent will provide the primary support
to quality check, analyse, model, and document near surface temperature
data from a dense station network in the Okanagan basin, British Columbia.

Nature of Work

The Statistical Modelling Analyst works under the supervision of the
Research Climatologist. The position will also receive strong scientific
and technical guidance from Agriculture and Agri-Food Canada (AAFC)
Research Scientists and staff at the Pacific Agri-Food Research Centre in
Summerland, British Columbia. This position is ideal for a recent graduate
interested in developing applied research and analytical skills and working
with regional scientists.

A prototype spatiotemporal statistical model identifying terrain and
weather controls on near surface temperatures in the Okanagan region will
be developed in the GNU R programming language. The model will incorporate
observational data from a network of inexpensive temperature loggers
provided by AAFC in Summerland, terrain layers provided by AAFC in
Summerland/ and meso-/synoptic-scale weather variables from numerical
weather prediction and reanalysis products. The goal is to assess the
accuracy and uncertainty of downscaled fine-scale gridded surface
temperatures for the Okanagan basin at sub-daily temporal resolution.

Accountabilities

· Assemble a digital archive of existing AAFC near surface temperature data
from a dense network of temperature sensors in the Okanagan basin, British
Columbia, including appropriate metadata and documentation.

· Perform and document data quality assessment and quality checking (QA/QC)
of the near surface temperature archive.

· Develop and validate a prototype spatiotemporal statistical model
identifying terrain and weather controls on data in the near surface
temperature archive. Potential to explore novel extensions of existing
methods to improve model performance.

· Support scientists with other analysis tasks.

· Produce a summary report describing the data processing, modeling and
validation steps.

Knowledge, Skills & Abilities

Knowledge and Experience

· Bachelor’s degree in a relevant field of study (such as statistics,
computer science, geosciences, environmental sciences, or engineering).

· Programming experience in GNU R.

· Experience with statistical modelling, model diagnostics, and model
validation.

· Experience with scientific data processing and analysis.

· Experience performing independent research an asset.

· Climatology or agricultural science background an asset.

· Knowledge of the Okanagan basin an asset.

Skill

· Excellent computer and programming skills.

· Excellent written communication skills.

· GIS skills an asset

Ability

· Ability to manage time series and spatial data.

· Work with team members and co‐workers effectively.

· Willing to be flexible with job duties.

Employment period

6 month term

Weekly working hours

Full time (37.5 hours per week)

Pay rate

$20.00/hour.

Additional information: Address enquiries to Alex Cannon at <[email protected]
>.

Application: Please send your application with a CV, including three
professional references.

Address cover letter and application to Alex Cannon, <[email protected]>,
with “ATTN: Statistical Modelling Analyst Position” in the subject line.
Please indicate whether you are legally able to work in Canada.

Thank you.





Pacific Climate Impacts Consortium (PCIC)

University House 1 | PO Box 3060 STN CSC

University of Victoria | Victoria BC Canada V8W 3R4

Tel: 250.472.4682 | Fax: 250.721.7217 | http://www.PacificClimate.org


-- 
Katherine Klink
Dept of Geography, Environment and Society
Univ of Minnesota
Minneapolis, MN 55455

e-mail: [email protected]
phone: 612-625-3452
web: http://www.geog.umn.edu/people/profile.php?UID=klink

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