We seek an outstanding early career scientist to evaluate bat monitoring efforts based on the North American Bat Monitoring Program. The postdoc will develop status and trends population models integrating existing acoustic data from legacy mobile transects with data collected following NABat acoustic monitoring protocols and environmental covariates that account for large-scale system changes. These models will be used to generate maps of species distributions and evaluate changes in activity of bat species in White-Nose Syndrome (WNS)-free regions. The outcome of this work will be to establish baseline information regionally that will help us to better understand the impacts of WNS and inform monitoring strategies for WNS.
Top priorities include updating NABat databases for analyses, developing habitat and environmental data scaled to population observations, and determining monitoring and estimation methods that are sensitive to potential changes in population distributions, bat acoustic activity, and critical habitat features. The primary objectives for this post-doctoral position are: 1) use acoustic monitoring data collected across multiple states to provide NABat partners with baseline information (e.g., maps) of species distributions and evaluate changes in distributions of bat species in WNS-free regions; 2) develop NABat status and trends models that integrate data from stationary point acoustic monitoring with data collected from mobile acoustic transects to model bat distributions and activity levels; 3) provide a formal evaluation of the benefits and limitations to each approach and their ability to contribute to understanding status and trends of NA bats through the NABat framework.
Ph.D. in conservation science, ecology, natural resources, statistics, or a related discipline.
Expertise in the principles and methods of wildlife monitoring and statistical methods used for modeling the population dynamics and trends of populations.
Demonstrated proficiency with statistical software including R.
Demonstrated evidence of excellent written and oral communication skills.
Desire and proficiency to publish in the peer-reviewed literature.
Must have a valid driver’s license or the ability to obtain a driver’s license or access to a licensed driver by the employment start date.
Background in demographic estimation and population modeling,
Background in spatial modeling,
Knowledge of bat population biology,
Knowledge of bat acoustic monitoring methods
Knowledge of analysis of acoustic monitoring data.
Experience with WinBUGs, JAGS, or STAN software.
Experience working collaboratively in work groups.