Assistant Professor of Biology (Ecologist) at William & Mary in Posting Location

Job description

Job Requisition: JR102072 Assistant Professor of Biology (Ecologist) (Open) Job Posting Title: Assistant Professor of Biology (Ecologist) Department: CC00098 WM001 | CAS | Biology Dept Job Family: Faculty - Tenure Track (Less than 12 months) Worker Sub-Type: Regular (benefited) Job Requisition Primary Location: Integrated Science Center Primary Job Posting Location: Posting Location - William & Mary Job Description Summary: The Department of Biology at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for a tenure track position at the Assistant Professor level in Ecology. Appointment will begin August 10, 2027. We are interested in individuals with research and teaching expertise in ecology with a specialization in biostatistics and/or quantitative biology. Applicants whose research is focused on any aspect of ecology will be considered as long as there is a strong quantitative aspect to their research and teaching interests. Duties include research, teaching, and service to the University. The applicant is expected to establish and maintain a vibrant externally funded research program that inspires a highly motivated body of undergraduate and master’s students. Teaching duties include a large, undergraduate introductory biostatistics course that serves students across the biology department, engaging undergraduate courses in ecology, and other lecture or seminar-style courses in the applicant’s area of expertise, including advanced or graduate-level biostatistics course. Teaching expectation is 2 courses per semester. Job Description: Required Qualifications : Applicants must hold a Ph.D. in biology, biomathematics or biostatistics, or a closely related field, at the time appointment begins (August 10, 2027). Applicants must have completed 18 graduate credit hours in the discipline in which they will teach Evidence of research expertise in ecology, biomathematics, or significant experience in other areas of quantitative ecology. Evidence of teaching expertise in ecology, biostatistics, or significant experience in other areas of quantitative biology or biomathematics. Ability to teach compelling courses in ecology and biostatistics. Experience (or ability) to teach other lecture and seminar-style courses. Preferred Qualifications: Previous teaching experience in ecology and an established record of mentoring undergraduate and/or graduate research. Evidence of scholarly achievement, including peer-reviewed publications in competitive outlets and nationally competitive grants or other awards. Postdoctoral research experience is strongly preferred. A research program that can leverage on-campus and local natural resources and sites will be viewed as desirable. Conditions of Employment: This position may require additional hours beyond the typical work week, including occasional overnight and weekend work as needed to meet the business needs of the operation. Applicants must apply online at https://go.wm.edu/VphZB3 . All applications must consist of the following materials for full consideration. Please note: No more than 5 individual documents may be uploaded into the upload field provided (“i.e. Resume/Coverletter” upload field). Each individual file must not exceed a size limit of 5MB. If necessary, candidates can compress multiple files into a single zip file for upload: Curriculum vitae; Cover letter; A 2-3 page statement of teaching interests that describes your approach to teaching and mentoring and that may also incorporate a discussion of how your past scholarly work informs your approach A 2-3 page statement of research interests; Unofficial graduate transcripts outlining proof of 18 graduate credit hours in the curricular area specified in the position description above. For international hires, a letter of graduate credit hour completion from your graduate school may be submitted if unofficial transcripts are not provided by your university Applicants are encouraged to reflect on