The Department of Entomology at the University of Georgia (UGA) invites applications for a tenure-track position (9 months) in quantitative insect ecology at the Assistant Professor rank.
Description The position includes research (70%), teaching (25%), and service (5%). The appointee will be expected to build a nationally prominent, extramurally funded, research program that complements existing strengths in the Entomology Department, as well as contribute to undergraduate and graduate teaching and service. The successful candidate will potentially teach quantitative approaches and methods of statistical inference at the undergraduate and graduate levels in their area of expertise and other courses depending on candidate expertise and departmental need. In addition to strengthening and complementing existing programs in the department, the emerging research program is expected to be collaborative and multidisciplinary with a focus on solving important or emerging problems. This individual is also expected to be active in departmental and university service, and professional activities and outreach. We seek candidates with expertise in modeling at landscape, community, population and/or genomic scales, or other related fields of study that include a strong quantitative modeling component associated with insects and their relatives. Approaches might include mathematical, statistical, computational, machine learning, or GIS-based modeling. Applicants should have a record of scholarly activities in their field as demonstrated by peer- reviewed publications and/or extramural funding for their research. Postdoctoral experience (one or more years) and experience in teaching in a classroom setting (one or more semesters) are preferred. Please see the full job posting and application details here: https://www.ugajobsearch.com/postings/406466 Direct any questions to William Snyder, Search Committee Chair, at wesny...@uga.edu<mailto:wesny...@uga.edu> To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
