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.
ESSENTIAL JOB FUNCTIONS
* Develop scientific hypothesis regarding urban wildlife behavior, persistence, movement, and/or community assembly that can be tested by UWI’s Biodiversity Monitoring data, as well as data from the Urban Wildlife Information Network (UWIN), and implement studies to test those hypotheses.
* Publish high-impact manuscripts resulting from the above work in conjunction with UWI staff.
* Assist with coordination and management of data collected from other cities as part of the UWIN initiative.
* As needed, conduct field work to gather additional data in the Chicago metropolitan area.
* As needed, assist with grant applications and presentations to donors and foundations.
* Supervise and mentor interns and UWI employees as needed.
* Attend national scientific meetings and disseminate information regarding UWI’s urban wildlife research.
KNOWLEDGE, SKILLS & ABILITIES
* 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.
* Possess a driver’s license.
* Available to work all necessary hours, including occasional weekends, holidays and special events.
* Attend Lincoln Park Zoo and/or Urban Wildlife Institute-related activities as necessary.
* Available to attend training sessions and conferences as needed.
* Remote work is possible for this position, but preference for those who are able to reside in the Chicago Metropolitan Area to assist with field data collection.
* Proof of full COVID-19 Vaccination, defined as two-weeks after second vaccination of a two-dose vaccine series (Pfizer or Moderna) or two-weeks after a single-dose vaccine (Johnson & Johnson)