Betreff: | Postdoc in Participatory SES Modeling |
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Datum: | Thu, 03 Mar 2016 22:05:26 +0000 |
Von: | Klein,Julia <[log in to unmask]> |
An: | Klein,Julia <[log in to unmask]> |
Natural Resource Ecology Laboratory and Department of Ecosystem Science & Sustainability
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), 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
(mountainsentinels.org).
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.
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, with renewal 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 at this website: 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.