The Burger lab will be joining the Department of Biology at the University of Kentucky and is recruiting Master’s and Ph.D. students to start Fall 2021. The lab is generally interested in field, theoretical and macroecological approaches to studying life history, biodiversity and human ecology.
We value diverse perspectives to modern socio-biological problems and welcome applicants traditionally underrepresented in ecology and evolutionary biology. Students interested in combining natural history and biodiversity knowledge with quantitative approaches using theory, informatics and field tests are particularly encouraged. Research projects are flexible and potential themes include: 1) metabolic theory of life history including field and comparative studies, 2) biogeography and conservation of island and montane biodiversity, 3) urban biodiversity and the importance of scale, 4) human macroecology and sustainability.
Interested individuals should contact Robbie Burger (email@example.com) with a CV and short statement of interests before applying. Webpage: https://sites.google.com/site/josephrobertburger/home
Please see the admission guidelines (https://bio.as.uky.edu/GraduateAdmissions) and the Department of Biology Graduate Program (https://bio.as.uky.edu/grad-program) for further information. The program provides a base stipend of $22,000 USD through 9-month Teaching Assistantships with additional opportunities for summer funding and Research Assistantships. Competitive fellowships are also available. Note the GRE is not required. Applications should be received by January 1st, 2021 for full consideration. Questions about the Biology Graduate program can be sent to the Director of Graduate studies, David Weisrock (firstname.lastname@example.org).
Robbie Burger will be starting as Assistant Professor of Biology at UKY in the Fall of 2021.
Bachelors degree (or expected by start date) in ecology or related fields including but not limited to biology, physics, behavior, economics, statistics, geography, natural resources, wildlife, computer science, anthropology, engineering, public health and quantitative environmental sciences.
Experience in or desire to learn field ecology techniques and/or data skills (e.g., R and GIS) preferred.