[ES_JOBS_NET] Postdoc in participatory SES modeling

Emily Fischer evf at rams.colostate.edu
Fri Mar 4 16:22:56 MST 2016

*Postdoctoral Fellow in Mountain Social-Ecological Systems Modeling*

Natural Resource Ecology Laboratory and Department of Ecosystem Science &

Colorado State University

The Natural Resource Ecology Laboratory and Department of Ecosystem Science
& Sustainability at Colorado State University seek candidates for a
postdoctoral fellow position for synthesis and modeling of mountain
social-ecological systems as part of a NSF-funded research coordination
network (RCN).  The RCN goals are to (1) expand an international network of
linked mountain biophysical and social science researchers and diverse
stakeholders; (2) explore and evaluate transdisciplinary modeling
frameworks for mountain social-ecological systems; and (3) promote
transdisciplinary approaches linking science with policy and practice.  The
project involves developing and applying geospatial social-ecological
datasets and participatory models and conducting synthesis across diverse
mountain social-ecological systems.  The project is led by Julia Klein
(CSU), Anne Nolin (Oregon State University), Catherine Tucker (University
of Florida) and Robin Reid (Colorado State University), in collaboration
with Adrienne Grêt-Regamey (ETH, Switzerland), Sandra Lavorel (CNRS,
France), Birgit Müller (Helmholtz Centre for Environmental Research) and
colleagues from the Mountain Sentinels Collaborative Network (

The successful candidate will build and synthesize GIS databases,
co-develop future scenarios, design and test social-ecological models
across a range of mountain contexts, write synthesis papers and develop
visualization tools for relevant stakeholders.  The postdoctoral fellow
will also develop original research questions related to the project.
Travel to, leadership and organization of network workshops and meetings is

*Required Qualifications:* Candidates must demonstrate experience and
expertise in social-ecological systems modeling; quantitative analyses; and
geographic information systems.  Evidence of strong organizational and
communication skills (both oral and written) is required.

*Desired Qualifications: *Candidates should exhibit a strong ability to
collaborate with an international, transdisciplinary team. Prior experience
with stakeholder engagement and transdisciplinary processes is desired as
is programming and modeling GIS skills.  Familiarity with Bayesian
modeling, agent-based or agent functional-based modeling, and participatory
modeling is also helpful.  Experience in mountain studies is beneficial.  A
demonstrated record of scholarship and capacity for successful
collaborations is valuable.  Interest in novel new media tools and
innovative ways to communicate results, especially from science and
stakeholder perspectives, will also advance network goals.

Salary Range:  Salary is commensurate with experience.  The initial
appointment will be for a one-year period, and will be renewed for up to
two years, contingent on satisfactory progress and funding.

A full description of benefits is available at
http://www.hrs.colostate.edu/benefits/. To apply, submit cover letter,
curriculum vitae, and names and contact information for three references to:
 http://jobs.colostate.edu/postings/18505*.  *References will not be
contacted without prior approval. For full consideration, please apply by
April 1, 2016.

Colorado State University does not discriminate on the basis of race, age,
color, religion, national origin or ancestry, sex, gender, disability,
veteran status, genetic information, sexual orientation, or gender identity
or expression. Colorado State University is an equal opportunity/equal
access/affirmative action employer fully committed to achieving a diverse
workforce and complies with all Federal and Colorado State laws,
regulations, and executive orders regarding non-discrimination and
affirmative action. The Office of Equal Opportunity is located in 101
Student Services.

Colorado State University is committed to providing a safe and productive
learning and living community. To achieve that goal, we conduct background
investigations for all final candidates being considered for employment.
Background checks may include, but are not limited to, criminal history,
national sex offender search and motor vehicle history.
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