|From||Roger Brugge <firstname.lastname@example.org>|
|Date||Fri, 2 Feb 2018 14:11:34 +0000|
Forwarded from CLIMLIST...
PCIC is seeking to hire a postdoctoral scientist
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 policy development. 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
The Postdoctoral Scientist works as part of a multi-disciplinary team to
study scaling relationships for extreme precipitation in mid-latitude
climates, including areas with complex topography, such as the Canadian
western cordillera. This postdoctoral position is part of the
pan-Canadian Global Water Futures (GWF) research program
(<https://gwf.usask.ca>), led by the University of Saskatchewan, which
aims to place Canada as a global leader in water science for the world’s
cold regions and to address the strategic needs of the Canadian economy
in adapting to change and managing risks of uncertain water futures.
The position will contribute to the recently funded GWF Pillar 1 project
entitled “Short-duration precipitation extremes in future climate”
(Yanping Li, PI), which seeks to improve the understanding of the
physical processes affecting the precipitation extremes for short
(sub-daily) accumulation periods and their possible changes ?
information that is critical for many GWF users. The work also feeds
into the GWF Pillar 3 “Climate Related Precipitation Extremes” project
(Stewart and Zwiers, Co-PIs), which is strongly user focused.
The Postdoctoral Scientist will undertake basic and applied research to
improve our understanding of extreme precipitation scaling
relationships. The scientific objectives for this position will be
attained using observational data from multiple sources and regional and
global climate model output at spatial resolutions ranging from
convection permitting (1-4 km resolution), to regional (10-50 km), to
global (>25 km). One objective for the position will be to evaluate the
physical realism of model simulated sub-daily precipitation extremes at
different spatial scales and to determine whether there are robust
relationships between precipitation extremes at different spatial
scales. This question is motivated by the need to robustly project
changes in precipitation extremes at convection permitting scales and
the possibility that one approach for meeting this need may be to
combine information from relatively short convection permitting
simulations with that from much longer and more widely available
simulations at lower resolution. A second objective for the position
will be to clarify the relationship between intra-annual temperature
scaling for sub-daily precipitation extremes (so-called binning scaling)
and inter-annual temperature scaling (trend scaling), and to identify
the impacts of dynamical changes and variability on both types of
scaling. This is motivated by the fact that locations where
high-frequency precipitation observations are available (e.g., hourly or
higher) allow the relatively robust quantification of binning scaling
relationships, and the question of whether these relationships provide
useful constraints on projected changes in precipitation extremes. To
answer this question, more needs to be known about the relationship
between binning scaling, the long term temperature scaling that links
anthropogenic warming to the intensification of precipitation extremes,
and circulation change on both intra-annual and interannual time
scales. An Improved understanding of these linkages will increase
confidence in projected changes in sub-daily precipitation extremes.
Particularly in areas with the dominant mechanism for intensification
Knowledge, Skills & Abilities
Knowledge and Experience
・PhD in the atmospheric sciences or a related area
・An understanding of and formal training in statistics, including
exposure to extreme value theory
・Experience in the statistical analysis of large climate datasets
including climate model output
・Experience working on interdisciplinary projects and with
・A high level of productivity for peer?reviewed publications is expected.
・Excellent data analysis and data visualization skills
・Excellent statistical analysis skills
・Excellent communications skills
・Excellent programming skills in several languages (R, C++ and python
being particularly useful)
・The applicant must have excellent multi?tasking skills
・Work in a self?directed manner and within a team environment
・Re-evaluate and adjust priorities and objectives in light of research
findings and evolving requirements
・Ability to acquire, manipulate and analyze large spatiotemporal data sets.
・Ability to find creative solutions to complex, open-ended problems.
・Operate with a professional demeanor while representing PCIC and GWF at
professional meetings and other venues.
2-year term commitment.
Weekly working hours
Full time (37.5 hours per week)
Commensurate with education and experience.
Additional information: Address enquiries to Francis Zwiers at
Application: Please send your application including a cover letter, CV,
and three professional references to Francis Zwiers, email@example.com
<mailto:firstname.lastname@example.org>, with “ATTN: Postdoctoral Scientist” in the
subject line. Please indicate whether you are legally able to work in
Review of applicants will start immediately and continue until a
suitable candidate is found.
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.