Robbie Burger
11 months ago
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Ecology, biodiversity, evolutionary questions University of Kentucky in United States
Degree Level
PhD
Field of study
Evolutionary Biology
Funding
The student will be supported through a combination of Teaching Assistantships and possible Research Assistantships or Fellowships. No specific stipend amount or tuition coverage details are provided.
Deadline
Expired
Country
United States
University
University of Kentucky

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About this position
The Burger Lab at the University of Kentucky is seeking a motivated PhD student to join in Fall 2026. The lab focuses on macroecology, combining theory, large-scale biodiversity data, and comparative approaches to address ecological and evolutionary questions across spatial and temporal scales. Research topics include life history theory, montane 'sky island' biogeography, and urban biodiversity, with opportunities to integrate field studies, museum collections, computational approaches, and mathematical theory.
The position is fully funded through a combination of Teaching Assistantships and possible Research Assistantships or Fellowships. Applicants should have a Bachelor's degree in ecology, biology, wildlife, or a related environmental science by the start date, and should be enthusiastic about independent research, scientific writing, quantitative analysis, and working in a collaborative environment.
Experience or interest in field/museum techniques and biodiversity data analysis (R, Python, GIS) is desirable. To apply, email Robbie Burger with a brief statement of interest and a current CV. Interviews will begin in November. More information about the program and lab can be found at the provided links.
Funding details
The student will be supported through a combination of Teaching Assistantships and possible Research Assistantships or Fellowships. No specific stipend amount or tuition coverage details are provided.
What's required
Applicants must have a Bachelor's degree (or equivalent) in ecology, biology, wildlife, or a related environmental science by the start date. Experience in or a strong desire to learn field and/or museum techniques, biodiversity data analysis (e.g., with R, Python, GIS), and/or ecological theory is expected. Candidates should demonstrate enthusiasm for independent research, scientific writing, quantitative analysis, natural history, and contributing to a collaborative lab environment. A brief statement of interest and a current CV are required for application.
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