RESEARCH POSITION IN MODELING TREE RESPONSES

The Genetic and Silvicultural Foundations for Management Team, USFS Pacific 
Northwest Research Station would like to fill a research (post-doc) position in 
Olympia, WA on modeling tree responses to environment or management. The 
candidate will contribute to on-going studies that focus on testing hypotheses 
related to the growth or function of northwest tree species, especially in 
relation to climate change or variable density management.  Examples of 
on-going studies include: (1) evaluating the impacts of genetic and 
environmental factors on growth and phenology in both field and greenhouse 
trials, (2) use of breeding data or other phenological data sets to look at the 
timing of vegetative and reproductive budburst, and (3) long-term studies on 
tree and plant responses to variable density management (such as creation of 
gaps) in large-scale studies. Work would involve limited new data collection 
(as several data sets already exist) but could involve compilation, editing, 
and analysis of data from multiple sources. In addition to writing up results 
for scientific journals, dissemination of research results could include 
contributions to models, presentations at scientific meetings, or development 
of web pages or apps for tablets or phones.  The candidate may also provide 
training and equipment support in their specialty to other team members.

More information on the team can be found at:  
http://www.fs.fed.us/pnw/olympia/silv/ Information about the Olympia area is 
at: http://www.ci.olympia.wa.us/

Initial appointment will be for up to 18 months but may be renewed for 1 or 
more additional years. Note, this could be a sabbatical opportunity. Position 
will be filled approximately April 1, 2014. Minimum salary approximately 
$61,867 per year (GS-11) depending on qualifications. Position includes paid 
holidays, vacation and sick days as well as health care benefits. Government 
housing is not available.

Qualifications: (1) US citizen with a PhD in natural resources completed prior 
to beginning of employment; (2) Knowledge of tree physiology, genetics, 
ecology, and silviculture; (3) High proficiency in R.  [Skills in R should 
include: a) writing scripts to automate the process of combining, querying, and 
updating large databases and generating graphical reports; b) model fitting 
using nonlinear mixed-effects models; and c) developing graphical user 
interfaces for data exploration and model fitting.]; and (4) Experience in 
publishing in peer reviewed journals.

To apply: Send one pdf document by February 10, 2014 to:  Connie Harrington 
([email protected]<mailto:[email protected]>). The document should 
include a letter of interest (including date when you could start), resume, 
list of references, and transcripts. You may send a second document which 
includes a recently authored publication related to the position if that 
publication would not be readily available online.






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