[ES_JOBS_NET] Postdoctoral Position in Extreme Precipitation Events Diagnosis, University of California, Davis
christin at ucar.edu
Wed Aug 24 11:59:59 MDT 2016
Postdoctoral Position in Extreme Precipitation Events Diagnosis
At the University of California, Davis
The UC Davis Department of Land, Air and Water Resources seeks a
postdoctoral scholar to be supervised by Prof. Richard Grotjahn and
Prof. Paul Ullrich.A successful candidate is expected to begin in Fall
The postdoctoral scholar position is in conjunction with Project
Hyperion, a new and exciting multi-institutional Department of Energy
project directed at nationwide stakeholder-driven regional climate data
evaluation.In addition to research, prospective candidates are expected
to engage with water manager and other related stakeholders to
understand data needs. The project incorporates outreach related to four
river basins (Sacramento-San Joaquin, Upper Colorado, Kissimmee, and
Susquehanna). The successful applicant will work on projects described
below related to the simulation, synoptics, and dynamics of the
large-scale flow associated with extreme precipitation events in regions
across the US. This project combines expertise in atmospheric synoptics,
extreme value statistics, and climate modeling.
The research focuses on the development of software for extreme
precipitation (PEx) detection and associated metrics. Example metrics
include ETCCDI indices, 95% and 5% seasonal thresholds, fixed
thresholds, and return period. A major component of this research will
be the development of automated algorithms for PEx event detection and
cause. The areas of extreme precipitation are first detected and then
the causes of each area (frontal, cut-off low, tropical cyclone,
convection, etc.) are identified from large scale patterns in relevant
variables. These large-scale patterns will be the foundation for
empirical statistical downscaling of PEx events.
These algorithms developed will be applied to historical data (primarily
gridded and reanalysis datasets) and model output. The tasks above may
require implementation of some extreme value statistics as well as
preprocessing of the data.
A PhD in an atmospheric or closely related science is required. Some
programming experience is required (preferably FORTRAN or C/C++).
Knowledge of atmospheric dynamics and atmospheric modeling is strongly
preferred. Also desired, but not required is experience with NCL, R,
experience with large datasets, and/or expertise in extreme value
Demonstrable written and verbal communication skills are also required,
as the successful applicant is responsible for the production of
reports, journal articles and conference presentations and is encouraged
to explore instructional activities and authorship of grants.
The position is open until filled. The initial appointment is for one
year, with funding available for up to three years. Salary is
commensurate with experience with an expected range of $50,123 to
$56,385.The position includes vacation with supervisory approval and
health care benefits (which includes family coverage).The position is
covered by a collective bargaining unit.
To ensure consideration, a complete application packet should be
submitted by 23 September 2016. Applications should be submitted
electronically to Prof. Richard Grotjahn (grotjahn at ucdavis.edu) and
include the following:
1.A cover letter of no more than 2 pages that outlines your interests
and how they relate to this project. Include evidence of your experience
and your expertise in synoptics, dynamics, global atmospheric modeling,
statistics, and computer programming.
2.Your CV containing your contact information, your educational
experience and degrees, lists of your publications and presentations,
and any other academic information (e.g. TA experience) you feel is
relevant. Publication lists with links to online papers are desirable.
3.Names and contact information for 3 references. The contact
information should include postal mail address, telephone number(s), and
email address for each reference.
4.Transcripts of your graduate education. Preferred, but not required
are transcripts of undergraduate education (such transcripts are
especially useful if your computer programming or meteorology coursework
was mainly as an undergraduate).
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