Post-doctoral Research Opportunity: Carnegie Institution for Science and
Institute for Pacific Islands Forestry, US Forest Service – Hilo, Hawaii
Under a joint collaborative agreement, the Carnegie Institution for
Science (http://dge.ciw.edu) and the US Forest Service Institute for
Pacific Islands Forestry (http://www.fs.fed.us/psw/programs/ipif/) seeks
post-doctoral research applicants for a two-year study to map and model
ecosystem structure, composition, and biogeochemical processes in the
Hawaiian Islands.
We seek a researcher who is familiar with remote sensing tools and
techniques and who can combine multiple data sources into analyses of
ecosystem structure and function. This position requires very strong
statistical, computer programming and spatial analysis skills. The
successful applicant will be part of a team of researchers that is using
a suite of remote sensing and field methods to evaluate the effects of
forest fragmentation and other disturbances on forest structure and
function. The research project has the potential to make significant
contributions to the conservation of Hawaiian ecosystems as well as
provide understanding of fragmentation impacts on tropical forest
broadly. The interdisciplinary nature of this research will provide
opportunities for the post-doc to also interact with project
collaborators (Tadashi Fukami, Stanford University; Dan Gruner,
University of Maryland; David Flaspohler, Michigan Technological
University; Christian Giardina, US Forest Service; Greg Asner, Carnegie
Institution), as well as other postdoctoral researchers, field
technicians, graduate students and undergraduate research assistants as
part of daily activities related to the project. Responsibilities
include model development and analysis, publishing in peer-reviewed
journals and outreach with environmental management professionals.
The position will be based at the Carnegie Institution’s remote sensing
lab within the USDA Forest Service, Institute of Pacific Islands
Forestry in Hilo Hawaii. Applicants must have a Ph.D. from an accredited
university, and must demonstrate expertise in remote sensing and its
integration into ecosystem and/or biodiversity prediction models. A
publishing record in peer-reviewed journals is also required.
This is a two-year appointment with competitive benefits. Applicants
should send a letter of interest, curriculum vitae and the names and
full contact information (email and phone numbers) of three potential
references to Greg Asner at <[email protected]> no later than June
30, 2011.
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Daniel S. Gruner, Assistant Professor
Department of Entomology
4112 Plant Sciences Bldg
University of Maryland
College Park, MD 20742 U.S.A.
(o) 301-405-3957 (f) 301-314-9290
[email protected]
http://grunerlab.umd.edu
