Postdoctoral fellowship in ecological statistics at the University of Notre Dame/University of California, Berkeley
A postdoctoral fellowship in statistical methods applied to
paleoecological problems is available based either at the University of
Notre Dame or at the University of California, Berkeley. The position is
part of NSF-funded PalEON, a PaleoEcological Observatory Network to Assess Terrestrial Ecosystem
Models, and is associated with Notre Dame's Environmental Change
Initiative (ND-ECI). PALEON is an initiative to statistically estimate
changes in forest composition in the northeastern U.S. over the past 2000 yearsusing paleoecological data and to assimilate these estimates into
ecosystem models. The postdoctoral fellow will lead the development of
statistical models, based on spatial statistics, state space, and data
assimilation methods, for the initiative, interacting with statisticians, paleoecologists,
paleoclimatologists, and ecosystem modelers. The fellow will work with
Dr. Christopher Paciorek at UC Berkeley and Dr. Jason McLachlan at Notre Dame, with extensive interaction with other
PALEON team members. Specific modeling challenges may include
spatio-temporal modeling of paleoecological data, state-space modeling
informed by
ecological models, modeling uncertainty in radiocarbon dating, and
spatial modeling of vegetation based on colonial settlement-era
historical records.
PALEON is an interdisciplinary research group of paleoecologists,
statisticians, and ecosystem modelers working together to study how
climate variations shape forest dynamics across a range of timescales. Specific goals include developing a coherent inferential framework with
rigorous estimates of uncertainty for paleoecological data, applying
these techniques to reconstruct variations in forested ecosystems for
the last 2000 years from the Great Lakes to New England, and then assimilating the results
into a suite of regional-scale ecosystem models. Postdoctoral
researchers will work closely with each other and other members of the
PALEON team towards these goals. Further details about PALEON may be found at
www.paleonproject.org.
Strong applicants will possess a background in Bayesian statistical
modeling, especially spatial modeling, state space modeling, or data
assimilation, as well as experience with MCMC computation. Applicants
must be interested in working at the interface of statistics and ecology. The position is
available for a two-year period, subject to annual performance review.
We will consider applications on a rolling deadline, with applications
received by October 21, 2012 guaranteed consideration. Funding is available
for an immediate start. Please email your CV and a cover letter with the
names and contact information of three references to Jill Deines ( jillian.deines@gmail.com). Questions can be addressed to
Chris Paciorek ( paciorek@stat.berkeley.edu) or Jason McLachlan ( jmclachl@nd.edu). The University of Notre Dame, an equal opportunity employer with a strong institutional and academic commitment to diversity, endeavors to foster a vibrant learning community animated by the Catholic intellectual tradition.
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