I am recruiting a PhD student to being in the fall of 2014 to work on a 
project focused on large-scale geographic variation in avian population 
dynamics. The student would join our research group, which focuses on the 
application of demographic methods to inform species’ conservation and 
management (http://ecosystems.psu.edu/research/labs/miller-lab). The student 
will be housed in the Department of Ecosystem Science and Management at 
Pennsylvania State University and apply through the ecology graduate program 
(http://www.huck.psu.edu/education/ecology/).

The project will focus on determining how environmental factors, density, 
and land-use affect demography of mourning dove populations. The student 
will have access to more than a decade of recruitment and mark-recapture 
data, collected from more than 40 states throughout the species’ range, as 
well as historic datasets on abundance, nesting biology, and juvenile 
recruitment. These comprise some of the most comprehensive, detailed, and 
wide-spread avian demographic datasets ever collected for a single species. 
Depending on research interests, the student may focus on within-species 
life-history variation, approaches to dynamic species distribution modeling, 
scaling of environmental drivers of population dynamics, local variation in 
the effect of climate drivers on demography, and/or the application of 
demographic models to decision analysis. There also should be an opportunity 
to apply similar methods to other species. There will be a strong 
quantitative component to the project, which will include developing 
hierarchical models in a Bayesian framework to determine factors influencing 
population parameters and assisting in the development of population models 
to be used in making predictions. The student will be expected to 
collaborate with and solicit input from personnel at the US Fish and 
Wildlife Service and state-agencies tasked with management of migratory dove 
populations. 

The ideal candidate will have a strong interest in quantitative ecology and 
population demography. Applicants with previous experience in the following 
areas will be given priority: estimating demographic parameters (e.g., mark-
recapture), implementing hierarchical models using MCMC, managing large 
databases, programming in R, GIS, decision-making for harvest management, 
and/or modeling climate change effects. An M.S. degree in Ecology, Wildlife 
Biology, Statistics, or other similar fields is preferred, but I will also 
consider students with only an undergraduate degree that have a demonstrated 
interest in quantitative ecology.    

To apply:
Interested applicants should send a cover letter including a description of 
their research interests, CV including GRE scores and GPA, and names and 
contact information for 3 references to Dr. David Miller ([email protected]). 
Applications should be submitted by January 20, 2014 at the latest. I will 
review applications as they arrive.    

Reply via email to