Funding is available for a temporary (nine-month) full-time Research Associate in the Range Science Program at North Dakota State University. The employee will be responsible for conducting a study of grassland ecosystem management at National Park Service properties in the Midwest, including Wind Cave, Badlands, Theodore Roosevelt, Tallgrass Prairie and Agate Fossil Beds. In coordination with project PIs, the employee will (1) develop and implement an assessment protocol to identify existing data related to grassland ecosystem management; (2) develop and conduct, remotely and in person, a survey of relevant NPS personnel to determine knowledge gaps and research needs in support of multi-species management goals and ecological objectives; (3) develop park-specific recommendations for specific actions and/or changes in existing strategies to improve achievement of management goals and ecological objectives; and (4) prepare a final report and peer-reviewed manuscript presenting these results to NPS in a manner aimed at improving capacity for adaptive management at each NPS property.
Terms of employment are flexible to accommodate a broad range of potential applicants. The ideal candidate will have at least a Master’s degree and commensurate experience in a field relevant to natural resources management or ecology and conservation. Applications from recent doctoral graduates seeking a short-term post-doc are encouraged. Applications from outstanding candidates with a Bachelor’s degree and relevant experience will be considered. The position is based at North Dakota State University in Fargo, ND but off-campus arrangements can be considered for outstanding applicants. Applicants must hold a valid license to drive in the U.S.
Successful applicants will demonstrate an interest in the social/human dimensions of natural resource management, with experience in conducting social science interviews and in-person surveys preferred. Evidence of well-developed writing skills is required, and candidates should be able to demonstrate experience leading collaborative writing projects involving multiple authors. Experience with qualitative data analysis and presentation is highly valuable, with experience in the R statistical environment preferred but not required.
The position is available 10 January 2018 although outstanding candidates could begin earlier or later depending on availability. Individuals interested in applying for this position should send a cover letter and resume/CV via e-mail to Dr. Devan McGranahan (email@example.com) as soon as possible, and be prepared to submit a technical writing sample and unofficial transcripts upon request.