An M.S. graduate assistantship is available through the Department of Biology at Austin Peay State University (APSU) in Clarksville, TN with an academic start date of August 2022 (Fall Semester). The student will work on a project studying hibernation ecology of tri-colored bats in Texas culverts. Although the specific thesis research topic is open, the successful application will be expected to engage in field-based research related to thermoregulatory strategies, roosting behaviors, and susceptibility to white-nose syndrome of tri-colored bats. The project will require a field season during the winter in east Texas coordinated with Texas Parks and Wildlife. Travel costs, including housing, will be provided while in the field. The assistantship will be split between a teaching (semester) and research (summer) assistantship, and includes payment of tuition and a 12-month stipend.
To apply, submit the following in a single PDF to Dr. Catherine Haase (email@example.com) by 1 February 2022: (1) statement of research background and interests, (2) curriculum vitae, (3) names and contact information for three academic or professional references, and (4) unofficial copy of your college transcripts. Please see http://haaseecolab.com to learn more about the project and the Haase Lab at APSU.
Additionally, to be considered by the APSU College of Graduate Studies, applicants must submit required materials by 1st March 2022 for official admission to the Biology M.S. program. Please see: http://www.apsu.edu/grad-studies for instructions, required documents, and note special instructions for the Biology program. Austin Peay State University is located in Clarksville, TN, in one of the most biologically diverse regions of the southeastern U.S. For more information about the graduate program in Biology visit: http://www.apsu.edu/biology/graduate.
Minimum qualifications include: (1) a B.S. in Biology, Ecology, Zoology, Wildlife Conservation, or a related field, (2) experience handling bats, (3) excellent written and oral communication skills, (4) strong self-motivation and ability to work well independently and with a team, and (5) ability to work long hours under challenging and physically demanding field conditions.
Preferred qualifications include experience working with wildlife telemetry and data analysis using R. Candidates with preferred qualifications should be able to demonstrate the acquisition and application of their experiences outside of a traditional classroom setting.