[Grad-postdoc-assn] Postdoc in Modeling Dynamics of Drylands Ecosystems at Boise State

[Paula Fisher]

*Postdoctoral Fellow in Ecosystem Modeling, Boise State University*

*Position Summary*

Professors Alejandro (Lejo) Flores and Nancy Glenn in the Geosciences
Department at Boise State University, are seeking a qualified and
enthusiastic scientist-colleague for a postdoctoral position in dynamic
ecosystem modeling of sagebrush-steppe ecosystems. The position is funded
through grants from the NASA Terrestrial Ecology and EPSCoR programs and
the Joint Fire Science Program.



Core activities of this postdoctoral position include:

(1)   Using existing field, lidar, and hyperspectral datasets at a number
of study areas in the Great Basin of the Western US to parameterize,
initialize, calibrate, and verify the Ecosystem Demography (ED) model, and

(2)   Parameterizing and exploring the impacts of fire mitigation
strategies (e.g., mowing, green strips) on the long-term distribution,
abundance, and coexistence of grasses, forbs, and shrubs in these
ecosystems.



The successful candidate is expected to work collaboratively with and
benefit from the expertise of a number of research scientists, postdocs,
and graduate students with expertise in land modeling, remote sensing of
terrestrial ecosystems and hydrology, and land management and restoration
ecology. These potential colleagues are currently housed within the Lab for
Ecohydrology and Alternative Futuring (LEAF), the Boise Center Aerospace
Laboratory (BCAL), and the USGS Forest and Rangeland Ecosystem Science
Center (FRESC) in Boise.



Co-advisors Glenn and Flores are enthusiastic about and committed to
providing mentorship and training to support the professional development
of the successful candidate. We particularly welcome applications from
colleagues interested in leveraging the science products developed during
the postdoc to advance their independent research agenda and pursue
collaborative research in collaboration with the research advisors.

 *Minimum Qualifications*

   - PhD in Earth System Science, Ecology, Applied Math, Physics or related
   disciplines
   - Strong quantitative background and experience in modeling and
   statistics
   - Demonstrated ability to design, conduct, and publish research related
   to ecosystem modeling
   - Excellent written and oral communication skills
   - Demonstrated communication and interpersonal skills necessary for
   working in a multidisciplinary research team
   - Programming experience

*Preferred Qualification*

   - Experience with ED or other vegetation dynamics or land models
   - Experience with lidar and hyperspectral remote sensing
   - Expertise with scientific programming languages for data analysis such
   as MATLAB, Python, or R

*Application *

Applications are now being accepted and the position will close when
filled. The position is a yearly appointment with potential funding and
renewal for up to 2-3 years. Applicants should send as one compiled
document: 1) CV; 2) one-page statement of research interests; 3) up to
three publications and 4) contact information for three references. Please
send materials to BOTH Lejo Flores (lejoflores at boisestate.edu) AND Nancy
Glenn, nancyglenn at boisestate.edu.

*Additional Information*
University: http://www.boisestate.edu/
City of Boise: http://www.boisechamber.org/
LEAF: http://leaf.boisestate.edu/
BCAL: http://bcal.boisestate.edu/
USGS FRESC: http://fresc.usgs.gov/

/*****************************************************************************/
Alejandro N. Flores, Ph.D
Associate Professor, Department of Geosciences
Director, Lab for Ecohydrology and Alternative Futuring
<http://leaf.boisestate.edu/>
lejoflores at boisestate.edu
ERB-4151
<https://www.google.com/maps/place/43%C2%B036'02.5%22N+116%C2%B011'47.9%22W/@43.600703,-116.1988099,17z/data=!3m1!4b1!4m2!3m1!1s0x0:0x0>
| Office: 208.426.2903 | Cell: 208.570.3097 | Fax: 208.426.4061 |
Follow me: @HydroLejo <https://twitter.com/HydroLejo>
Follow LEAF: @LEAF_Research <https://twitter.com/LEAF_Research>
/*****************************************************************************/
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