This post-doctoral fellow will analyze data and publish manuscripts from data collected by the Lincoln Park Zoo and from a multi-city research effort—the Urban Wildlife Information Network (www.urbanwildlifeinfo.org). As such, we are seeking a skilled quantitative ecologist with a background in multi-species occupancy modeling and geospatial analysis. The post-doctoral fellow will be expected to work with high-quality, existing datasets to identify areas for high-impact scientific research and design and implement that research in conjunction with Urban Wildlife Institute staff. There is substantial flexibility in the types of research questions that fellow could address based on interest and expertise. This work may include some field data collection and/or management and training of research interns.
PhD in ecology, conservation biology, or closely related scientific discipline.
Expertise in urban wildlife biology.
Experience working with wildlife detection / non-detection data, ideally collected with camera traps, across large geographic regions.
Experience with both applied and basic research
Excellent communication (written and spoken) and multi-tasking skills. Ability to collaborate with a huge network of partners around the world.
A strong familiarity with Bayesian statistics, multi-species occupancy modeling, and multi-level (i.e., hierarchical) modeling.
Expertise in a scientific programming language, preferably R. Preference for those who have experience with version control (e.g., GitHub) and have worked collaboratively on programming projects.
Demonstrate a commitment to wildlife conservation, and willingness to participate in the department’s team approach to this project. Enthusiasm for working with others, including training staff, volunteers and students.
Specific potential areas of expertise could include, for example; ecological forecasting, functional trait analysis, quantifying spatiotemporal variation in biodiversity across multiple scales, social-ecological systems, or human-wildlife interactions, but this list is not exhaustive and we welcome candidates with any specific research interests in urban wildlife.