A post-doc position is available in the Ogle Lab in the Informatics & Computing Program (http://nau.edu/CEFNS/Informatics-Computing) 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 ([email protected]). Applications must be submitted on-line through NAU’s Human Resources Web Page (go to https://nau.edu/Human-Resources/Careers/Applying-Hiring-Information/ 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.
