[ES_JOBS_NET] Post-Doctoral Fellow in snow-land-climate modelling at University of Waterloo, Canada

Erika Marín-Spiotta marinspiotta at wisc.edu
Thu Jul 27 20:19:14 MDT 2017

Post-Doctoral position in modelling of snow-land-climate interactions and
their response to climate change.

The climate modelling and analysis group based in the department of
Geography and Environmental Management at the University of
Waterloo, Canada invites applications for a full-time (1.0 FTE), 12-month,
fixed-term Post-Doctoral Fellow (PDF) research position in modelling of
snow-land-climate interactions and their response to climate change. For
more details about our research group see <https://uwaterloo.ca/scholar/

The PDF will be engaged in two projects. The first involves the
implementation and analysis of a suite of global land surface model
simulations using the Community Land Model (CLM) to assess the impact of
snow process parameterizations on climate. The second project involves the
analysis of the CMIPx suite of model output to characterize projected land
surface hydrological responses to climate change and their impact on the
frequency and intensity of future drought in Canada. The position is
partially supported by CanSISE (<http://www.cansise.ca>), a Canada-wide
network of researchers from academia and government, engaged in climate
modelling efforts related to quantifying sea ice and snow evolution. The
position will involve collaboration internally within the research group at
Waterloo, and externally with colleagues in CanSISE, at Environment and
Climate Change Canada (<https://www.ec.gc.ca>), and at Agriculture and
Agri-Food Canada (<http://www.agr.gc.ca/>).

Essential requirements: the PDF must have (or be about to obtain) a Ph.D.
in atmospheric science, physics, chemistry, applied mathematics, or
a related field. Experience analysing and visualising large
climate/geophysical datasets, preferably in netCDF format, using a
scientific programming language such as Python, IDL, Matlab, or NCL in a
Linux computing environment. The PDF will be a highly effective oral and
written communicator, and be able to work as part of a research team.
Desirable requirements: Experience running simulations with global or
regional models of the atmosphere and/or land surface would be a
distinct advantage, particularly with any of the NCAR Community Earth
System Model (CESM) suite. Knowledge of advanced multivariate
statistical methods, and/or statistical learning techniques such as support
vector regression would also be an asset.

The position has an anticipated start date of September 5, 2017, or as soon
as possible after that date. The initial appointment will be for one
year, with the possibility of renewal based on performance.  A review of
applications will begin immediately and will continue until the position is
filled. To apply, please send a single document in PDF format containing a
cover letter summarizing your research interests and career goals, current
CV, and contact information for three references to Prof Chris Fletcher (<
chris.fletcher at uwaterloo.ca>).  We regret that only applicants being called
for interview will be contacted.

Chris Fletcher
Associate Professor
Geography & Environmental Management, University of Waterloo
200 University Ave W, Waterloo, ON, N2L 3G1
(519) 888-4567 x36855 <(519)%20888-4567>
twitter: @ClimoChris
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