The Department of Natural Resource Ecology and Management (NREM) at Oklahoma State University invites applications for a full-time, eleven-month, tenure-track position (60% research and 40% teaching) at the rank of Assistant Professor in Quantitative Ecology. The research appointment is in the Oklahoma Agricultural Experiment Station (OAES) and the teaching appointment is in the College of Agricultural Sciences and Natural Resources (CASNR). This position reports directly to the department head.
Oklahoma State University is a leading land-grant university in a region represented by an environmental gradient that ranges from pine and oak forests in eastern Oklahoma with >1400 mm of rainfall to shortgrass prairie and pinyon-juniper rangelands with <450 mm of rainfall in the western panhandle. The NREM department is composed of a diverse group of faculty with expertise in aquatics, fisheries, forestry, rangelands, and wildlife resources, employs 20 faculty and 9 support staff, and also houses the Oklahoma Cooperative Fish and Wildlife Research Unit.
The successful candidate will develop an active research program in Quantitative Ecology to answer complex questions related to natural resource measurement or management using modeling, statistics, or other mathematical approaches in cooperation with NREM faculty and other natural resource professionals. The individual is expected to develop an independent research program and to participate in collaborative, interdisciplinary research and teaching activities with appropriate departments and OAES faculty. Working relationships with other OSU units and professionals within the region and the nation are strongly encouraged and expected. The successful candidate will teach two undergraduate courses and one graduate level course.
Specific responsibilities include:
1. Establish a nationally recognized, externally funded research program concordant with the land grant mission that focuses on the quantitative ecology of natural resources, i.e. forests, rangelands, wildlife and fisheries resources.
2. Initial teaching responsibilities will address forest and timber measurements involving a blend of theory, practical application, and field-based experience in the undergraduate forestry program, and a graduate level course in statistical, analytical, and modeling approaches relevant to natural resources management. Additional teaching responsibilities will be based upon department needs and faculty expertise.
3. Recruit, mentor, and train graduate students.
4. Advise and mentor undergraduate students.
5. Serve on Departmental, Division and University committees appropriate to interests, responsibilities, and organizational mission.
1. A Ph.D.in natural resources, biostatistics, or closely related field from an accredited university is required. One or more degrees in Forestry at any level is required.
2. Demonstrated ability and strong interest in instruction and advisement of undergraduate and graduate students.
3. Demonstrated ability and strong interest in collaborative research with natural resource research scientists and other natural resource professionals to develop and maintain an active research program, to include publishing in leading scientific journals, and demonstrated interest and ability to seek and secure extramural funding to support research.
Applications must be submitted online at:
https://okstate.csod.com/ats/careersite/search.aspx?site=8&c=okstate (search by keyword req5841)
Applicants should submit: 1) a cover letter, 2) statement of research interests and philosophy, 3) statement of teaching interests and philosophy, 4) curriculum vitae, 5) academic transcripts, 6) up to three reprints of journal publications, and 7) contact information for three references. Review of applications will begin on January 10, 2019 and will continue until a suitable applicant is identified. The position will be filled by June 1, 2019 or as soon thereafter as a qualified candidate is available. Salary will be commensurate with qualifications and experience.
For more information about the department, visit http://nrem.okstate.edu.