M.S. Student: White-tailed Deer Contact Behavior
Position Summary: The Department of Fisheries and Wildlife at Michigan State University invites applications for an M.S. Student based in the Boone and Crockett Quantitative Wildlife Center. This student’s research project will focus on how landscape configuration influences late winter deer congregations in the upper Midwest agriculture region as an important process in disease transmission. A concurrent field study previously fit GPS collars on deer and their locations will be used to guide collection of direct (deer observations) and indirect (fecal bioaccumulation) measures of deer contact. Student will engage local landowners and hunters, and use cameras, thermal infrared imaging, and drones to observe deer. The student will also participate in distance sampling to estimate deer densities. The student will work as part of a collaborative team of researchers at Michigan State University and the Michigan Department of Natural Resources.
Qualifications: Applicants must have a bachelor’s degree in wildlife ecology or a related field, an aptitude for quantitative analysis, GIS experience, and excellent communication skills. Prior experience working with a state wildlife agency and collecting field data under extreme winter weather conditions is preferred.
Assistantship Details and Start Date: This is a 2-year graduate research assistantship, which includes a $22,000 annual stipend, tuition, and health benefits. Start date is January 1, 2022.
Application Instructions: For more information about this position, contact Dr. David Williams (dmwill@msu.edu). Application must include a cover letter, CV, copy of undergraduate transcript (unofficial acceptable), GRE scores, and a list of three professional references. Submit applications to Dr. Rose Stewart (stewa684@msu.edu), with the subject line “Deer Behavior MS Student”. A single PDF file is preferred. Please save the file in the following format: your last name_your first name_2021 (e.g., Leopold_Aldo_2021). Review of applications will occur on a rolling basis and continue until the position is filled.
Qualifications: Applicants must have a bachelor’s degree in wildlife ecology or a related field, an aptitude for quantitative analysis, GIS experience, and excellent communication skills. Prior experience working with a state wildlife agency and collecting field data under extreme winter weather conditions is preferred.
Assistantship Details and Start Date: This is a 2-year graduate research assistantship, which includes a $22,000 annual stipend, tuition, and health benefits. Start date is January 1, 2022.
Application Instructions: For more information about this position, contact Dr. David Williams (dmwill@msu.edu). Application must include a cover letter, CV, copy of undergraduate transcript (unofficial acceptable), GRE scores, and a list of three professional references. Submit applications to Dr. Rose Stewart (stewa684@msu.edu), with the subject line “Deer Behavior MS Student”. A single PDF file is preferred. Please save the file in the following format: your last name_your first name_2021 (e.g., Leopold_Aldo_2021). Review of applications will occur on a rolling basis and continue until the position is filled.
Postdoctoral Research Associate
Position Summary: We seek a Postdoctoral Research Associate to help bring new, high-level quantitative tools to the challenges of wildlife conservation. Responsibilities will include implementing and adapting existing models to evaluate and inform wildlife management decisions. Initial work will link population and epidemiological models to study the role of white-tailed deer harvest on the spread of chronic wasting disease and evaluate population consequences of interactions with other diseases. The Postdoctoral Research Associate is expected to work collaboratively with Boone and Crockett Quantitative Wildlife Center colleagues and our partners, mentor undergraduate and graduate students, and communicate research findings to broad audiences.
Required Qualifications: Ph.D. in wildlife, ecology, biometrics or a related field.
Desired Qualifications: Competitive candidates will have ecological or statistical modeling experience, strong oral and written communication skills, and demonstrated leadership abilities. A research background in population or disease ecology and a publication record commensurate with time since degree completion are preferred. Prior experience interacting with government wildlife agencies is helpful.
Position Details: Salary commensurate with experience. The position is a one-year appointment. Desired start date in fall 2021.
Required Application Materials: All applicants must apply via www.careers.msu.edu, Posting #720619. Please submit your CV, a letter of intent, and a list of three references. E-mailed applications cannot be accepted.
Review of Applications: Begins on 09/01/2021 and will continue until filled.
Equal Employment Opportunity Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Qualifications: Ph.D. in wildlife, ecology, biometrics or a related field.
Desired Qualifications: Competitive candidates will have ecological or statistical modeling experience, strong oral and written communication skills, and demonstrated leadership abilities. A research background in population or disease ecology and a publication record commensurate with time since degree completion are preferred. Prior experience interacting with government wildlife agencies is helpful.
Position Details: Salary commensurate with experience. The position is a one-year appointment. Desired start date in fall 2021.
Required Application Materials: All applicants must apply via www.careers.msu.edu, Posting #720619. Please submit your CV, a letter of intent, and a list of three references. E-mailed applications cannot be accepted.
Review of Applications: Begins on 09/01/2021 and will continue until filled.
Equal Employment Opportunity Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
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