Postdoctoral Fellow

Auburn University•Auburn, AL

About The Position

The College of Forestry, Wildlife and Environment at Auburn University invites applications for a Postdoctoral Research Associate in Quantitative Ecology. The fellow will contribute to ongoing research with the Motus collaborative wildlife research network. Potential research topics include creating scientific products to inform the spatial prioritization of new tower deployments and developing techniques for quantitative analysis of data collected by Motus collaborators. The anticipated start date is January 1, 2027. Applications should be received by December 4, 2026. Applicants must submit a letter of interest, curriculum vitae, names and full contact information for at least three professional references, and official transcripts showing the conferral and date of a Doctorate degree. Only complete applications will be considered.

Requirements

  • Doctorate in wildlife sciences or a related discipline, conferred before the start date.
  • Proficiency in R for statistical analysis and data management.
  • Strong publication record commensurate with career stage.
  • Meet eligibility requirements to work legally in the United States when the appointment begins and throughout the employment term.
  • Proficiency in statistical analysis of large spatial and movement datasets.
  • Knowledge of advanced statistical techniques, including Bayesian approaches.
  • Ability to prepare peer-reviewed publications and professional presentations.
  • Ability to mentor and support student researchers.
  • Strong interpersonal and collaboration skills with university, agency, and nonprofit partners.
  • Excellent analytical, organizational, and communication skills.

Nice To Haves

  • Experience examining novel concepts in avian movement ecology.
  • Proficiency in advanced statistical techniques such as Bayesian hierarchical modeling and machine learning.
  • Past mentorship of students and technicians in avian ecology projects, especially using point counts, bird capture and transmitter attachment, and species distribution modeling.
  • Prior collaborations with state, federal, university, or nonprofit partners to achieve research goals.

Responsibilities

  • Manage and analyze large spatial and movement datasets using R.
  • Use advanced statistical techniques, including Bayesian statistics, to integrate data from multiple sources.
  • Prepare peer-reviewed manuscripts and present findings at professional conferences.
  • Assist with mentoring graduate and undergraduate students.
  • Build strong, collaborative relationships with nonprofit and university partners.

Benefits

  • Auburn offers generous benefits, educational opportunities, and a culture of support and work/life balance.
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