How to Apply
This position start date is January 15, 2022, but is flexible and could start at another time in the Winter or possibly later. To apply please combine a CV and a cover letter (max 2 pages) describing your qualifications for the position. Review of applications will begin October 22nd and continue until the position is filled. Women and under-represented minorities are encouraged to apply. The University of Michigan is an equal opportunity employer. Questions about the position can be addressed to Dr. Neil Carter (firstname.lastname@example.org).
We seek a postdoctoral scholar for an exciting new National Science Foundation-funded project investigating how social and ecological stressors (i.e., drought, large carnivores) are impacting integrated ranching-wildlife systems. The candidate will evaluate broad-scale patterns of wildlife manager decision-making in the western US in response to social and ecological processes. The successful candidate will assist with 1) developing and implementing models that evaluate the social-environmental drivers of a) stocking practices of domestic animals on public lands and b) lethal removal of large carnivores by state and federal agencies; 2) analyzing and visualizing model outputs to share with decision makers; and 3) writing scientific, peer-reviewed publications.
The postdoctoral scholar will be co-advised by Drs. Neil Carter (University of Michigan) and Jeremy Bruskotter (Ohio State University), and located at the University of Michigan’s School for Environment and Sustainability (SEAS, Ann Arbor Campus) for 18 months, with an opportunity to extend that post-doc for an additional 6 months at Ohio State University. The successful candidate will also work closely with colleagues in Idaho and Oregon.
Rangelands are the earth’s dominant landcover and are essential as habitat for many species of mega-fauna, and for meeting the world’s growing demand for meat, making them a primary arena for human-wildlife interaction and conflict. Many rangelands are already under stress from climate drying and warming, exemplified by the western US, and recolonizing large carnivores creates new stress and uncertainty for human decision-makers. Critical gaps exist in our knowledge of the cumulative impacts of multiple stressors in human-wildlife systems – particularly how climate affects wild food webs and how natural resource decision-makers respond to resulting wildlife interactions – limiting our ability to predict outcomes or work to increase system resiliency. The successful candidate will synthesize publicly available wildlife and social data and remotely sensed environmental characteristics to better understand how multiple environmental stressors (carnivores, climate) affect human decisions that impact wildlife at macroecological scales.
- Fit statistical models that quantify the relative effects of socio-economics, demographics, opinions, interactions with wildlife, and climate on decisions about livestock grazing and lethal removal of large carnivores.
- Create projections of these land and wildlife decisions into the near future and across the western US.
- Work in an interdisciplinary team and help build a larger integrated social-ecological model of rangeland systems.
- Work closely with land managers to discuss model outputs and inform decision making.
- Help write scientific and annual reports, as requested.
PhD (by start time of position) in Conservation, Complex Systems, Ecology, Geography, Natural Resources, Wildlife Sciences, or related field, from an accredited university. Competitive applicants will have strong numerical and statistical modeling background and experience with computer programming and coding (e.g., R, Python), GIS and remote sensing applications, analyzing large datasets, and working in collaborative teams. Strong written and verbal communication skills and a demonstrated ability to work both in a team environment and independently are required.
Preference will be given to candidates who have experience with development of hierarchical models, Bayesian models, structural equation models, forecast models, and integrated social-ecological systems models. Preference will also be given to scholars with a proven publication record.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled at any time after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
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