Assistant Professor: Quantitative Insect Ecologist

University of Georgia; Griffin (GA); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player in academia is seeking a dedicated Assistant Professor in Quantitative Insect Ecology. This tenure-track position offers the opportunity to develop a prominent research program while engaging with students through teaching and mentorship. The ideal candidate will possess a strong background in quantitative modeling and statistical inference, contributing to both research and educational excellence. Join a vibrant department focused on addressing critical ecological challenges through collaborative and multidisciplinary approaches. If you are passionate about teaching and research in the life sciences, this role is a perfect fit for you.

Benefits

Health Insurance

Retirement Plan

Professional Development Opportunities

Flexible Work Schedule

Qualifications

• Ph.D. required in Entomology or related life sciences.
• Experience in quantitative modeling and teaching preferred.

Responsibilities

• Build a nationally prominent, extramurally funded research program.
• Contribute to undergraduate and graduate teaching and departmental service.

Skills

Quantitative Modeling

Statistical Inference

Machine Learning

GIS-based Modeling

Research Mentorship

Education

Ph.D. in Entomology or related discipline

Tools

Statistical Software

GIS Tools

Job description

Assistant Professor: Quantitative Insect Ecologist

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button.

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Please see Special Instructions for more details.

Applicants should submit the following: a letter of application, detailed curriculum vitae (25-page limit), a one-page statement of research philosophy, and a one-page statement of teaching philosophy. Applicants should also arrange for three letters of reference that address qualifications for the position. Complete applications received by January 31, 2025, will be assured of full consideration. Inquiries can be directed to William Snyder, Search Committee Chair, by email ([e-mail]).

Posting Details

Posting Number F2199P
Working Title Assistant Professor: Quantitative Insect Ecologist
Department CAES-Entomology

Position Details

Classification Title Assistant Professor
FLSA Faculty
Rank Assistant Professor
Contract Type Academic (9 mo.)
Tenure Status Tenure Track

Minimum Qualifications

Applicants must have a Ph.D. in Entomology or a related discipline in the life sciences.

Position Summary

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.

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.

Additional Requirements

Relevant/Preferred Education, Experience, Licensure, and/or Certification:

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.

Preferred Knowledge, Skills, Abilities and/or Competencies

Particularly appealing are candidates who integrate diverse approaches that might include mathematical, statistical, computational, or GIS-based modeling, or other means of quantitative analysis of spatial and temporal data.

We seek a teacher-scholar with a strong commitment to engaging students in both the classroom and through research mentorship at the undergraduate, M.S., and Ph.D. levels.

Duties/Responsibilities

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. We seek a teacher-scholar with a strong commitment to engaging students in both the classroom and through research mentorship at the undergraduate, M.S., and Ph.D. levels.

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. Particularly appealing are candidates who integrate diverse approaches that might include mathematical, statistical, computational, or GIS-based modeling, or other means of quantitative analysis of spatial and temporal data. This individual is also expected to be active in departmental and university service, and professional activities and outreach.