We are seeking an exceptional post-doctoral researcher to join our research group that is focused on understanding the response of wildlife to global change. The postdoc will be based in the lab group of Dr. David Jachowski within the Department of Forestry and Environmental Conservation at Clemson University (http://davidjachowski.weebly.com/), where lab members are currently studying the ecology of terrestrial mammals in a variety of systems globally, and leading efforts to design effective conservation and restoration strategies.
We expect the post-doc to develop questions with lab members, as well as with existing collaborators both nationally and internationally. Several existing large camera trapping datasets on mammalian carnivores and their prey exist from both Africa and North America that the post-doc will be able to utilize or build upon. In particular, a major initial focus will be to analyze a long-term camera trapping dataset to investigate questions related to terrestrial and avian scavenger community ecology in North America. Thus, experience with working with large datasets and modern statistical approaches (e.g., multi-species occupancy, structural equation modelling, machine learning, etc.) is highly favored. Regardless of the questions evaluated, it is expected that the post-doc will submit multiple publications to peer-reviewed journals annually.
In addition to research, there is the potential to mentor and collaborate with graduate and undergraduate students, and to gain teaching experience as the co-instructor or lead instructor of courses within the Department of Forestry and Environmental Conservation. Further, while funding is secured for this position, there is the expectation that the post-doc will collaborate with lab members and other faculty/collaborators on future grants.
A PhD in wildlife biology, ecology or a related field by August 2019. Applicants must also have a demonstrated record of publication in peer-reviewed journals, including at least one first author publication. Strong writing and quantitative skills are required, particularly as it relates to analyzing animal community ecology. Experience using program R and working with large datasets is a plus.