[ECOLOG-L] Post-doc position in Synthesis of tree growth response to past climate

A post-doc position is available in the Ogle Lab in the Informatics &
Computing Program (http://ift.tt/1KPK9YI) at Northern
Arizona University. The post-doc will participate in a project aimed at
understanding how tree growth is affected by antecedent exogenous (e.g.,
past climate) and endogenous (e.g., past ring widths) factors. Three
objectives of the project are: (1) Develop a stochastic antecedent model
(SAM) for quantifying antecedent climatic and endogenous conditions and
their influence on tree growth. (2) Evaluate the time-scales over which
antecedent factors affect tree growth for multiple species across multiple
sites in the southwestern US. (3) Identify potential physiological
mechanisms underlying the antecedent effects on tree growth. The study
combines large datasets (e.g., tree-ring and climate databases), field
studies, literature data, Bayesian synthesis, and an individual-based model
(IBM) of tree growth. The post-doc will likely focus on the Bayesian
modeling and data synthesis component, but may also participate in field and
lab work depending on interests and skills. Applicants should have a PhD in
ecology, biology, forestry or related field with strong statistical and
computing skills, or a PhD in math, applied math, statistics or related
field with experience or interest in plant / forest ecology. Questions about
the position should be directed to Dr. Kiona Ogle (Kiona.Ogle@nau.edu).
Applications must be submitted on-line through NAU’s Human Resources Web
Page (go to
http://ift.tt/1LNjjpu and
click “Staff Openings” and search for Job ID 602216). Complete applications
must include: (1) cover letter outlining interest in position and relevant
skills, (2) curriculum vita, (3) names and contact information for 3
references, and (4) 2-3 writing examples (preferably published papers or
papers in press, but this could also include dissertation chapters). Review
of applications will begin October 21, 2015.

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