The Information Science Program at the Lab of Ornithology is seeking a 
Postdoctoral Associate to work on macro ecological questions related to 
spatiotemporal determinants of bird species' distributions at a continental 
scale within North America. The exact research questions will be determined by 
the post-doctoral appointee in consultation with research staff of the Lab of 
Ornithology, and can be as varied as basic research into birds' distributions, 
applied studies relevant for conservation and management, or development and 
refinement of analytical methods.

Duties and Responsibilities: 
- Apply advanced spatiotemporal modeling and estimation techniques (statistical 
and machine learning techniques including nonparametric and semi parametric 
regression, Bayesian hierarchical models, etc) to answer biological questions, 
using data that integrate broad-scale citizen science observational data with 
remote sensing data that describe environmental characteristics. 
- Some of the analytical challenges and goals that we are interested in having 
addressed as part of the work include the development of efficient strategies 
to explore and quantify complex spatiotemporal patterns as well as methods to 
identify and mitigate biases inherent in citizen science data. 
- The project offering this position is led by Steve Kelling in the Information 
Science unit of the Lab of Ornithology, and involves collaboration with Daniel 
Fink and an interdisciplinary team of researchers in statistics, machine 
learning, ecology, and conservation at Cornell University and at other research 
institutions.

Qualifications: 
- PhD and proven research abilities and experience in large-scale environmental 
modeling. 
- We particularly seek applicants with backgrounds in both ecological sciences 
(macro or landscape ecology) and quantitative sciences (statistics, machine 
learning, etc.) 
- Ideal candidates will demonstrate a strong ability to apply quantitative 
methods to real-world problems; such ability should be highlighted in 
applications for the position. 
- Additional desirable experience and expertise in time series analysis, 
spatial statistics, and High Performance Computing applications are a plus.

APPLICATION PROCEDURE:  Send a letter of application, complete resume, list of 
references and academic transcripts to:  Susan Taggart, Cornell Lab of 
Ornithology, 159 Sapsucker Woods Road, 283A Johnson Center for Birds & 
Biodiversity, Ithaca, NY 14850.  Inquiries about position specifics can be 
directed to Steve Kelling, Cornell Lab of Ornithology, Ithaca, NY 14850.  
Phone: 607-254-2478; Email s...@cornell.edu.  Review of applicants will begin 
immediately and continue until the position is filled.

Wesley M. Hochachka
(w...@cornell.edu)

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