North Dakota State University
Fargo, North Dakota
- Closing Date
10 November 2017
A Masters or Doctoral graduate position in amphibian ecology and conservation is available to study the distribution and characteristics of amphibian breeding habitats in North Dakota. The graduate student will be co-advised by Drs. Matthew Smith and Mark Clark in the Biological Sciences Department at North Dakota State University, Fargo, North Dakota starting in January 2017.
This position is fully-funded for 3 years and includes an annual salary, a tuition waiver and is open to US students or international students. Some teaching will be required as part of the annual salary.
Funding is in support of a project with North Dakota Game and Fish Department (NDGF). To help inform the current status and potential management strategies of amphibians in North Dakota, the highly-motivated graduate student will work to quantify amphibian diversity and distributions in North Dakota. This project will include a mix of bioacoustic monitoring, habitat characterization and modeling, in addition to working closely with NDSU and NDGF staff to build a state-wide citizen science program focused on amphibians. The position will be primarily field-based, focusing on eastern North Dakota, but other travel and some lab-based work will likely be required.
The ideal graduate student will be independent, highly-motivated, organized, and a problem solvers. Preference will be given to applicants with experience in field-based ecology, amphibians, habitat modeling, and/or citizen science/outreach.
BS degree in biology, wildlife, fisheries, natural resources or related discipline, with GPA of 3.5 or higher. Excellent oral and written communication skills. Demonstrated research experience (data collection, analysis, and writing). Ability to work independently and with project teams.
Experience with amphibian field research and/or habitat modeling. Interest in herpetology, conservation biology, or wildlife biology. Experience publishing scientific research. Advanced quantitative skills including analysis in R.
Interested students are encouraged to contact Dr. Smith (email@example.com). Please include a brief description of your research interests, a writing sample and a CV in your email.