Location: Corvallis, OR
Salary: GRA Stipend
Start Date: 09/15/2019
We are looking for an experienced Ph.D. graduate student to begin in Fall 2019 for dissertation research focused on the following:
- Implementation of convolutional neural networks for automated species detection using bioacoustics and camera trap data
- Quantifying spatiotemporal dynamics in species distribution, abundance, and interactions
- Making inferences about species response to forestry, development, and other land use change
The Ph.D. student should be intellectually curious and will have the flexibility to pursue independent research interests. This position requires strong ecological and analytical capacity and aptitude. The student will work with Dr. Levi and Dr. Lesmeister based out of Corvallis, Oregon. This position is an excellent opportunity for students interested in avian and mammalian ecology, conservation, and management, and for students interested in applying quantitative and computational methods to applied ecological and conservation problems.
Successful candidates will be accomplished in writing, statistics, and ecological modeling. Applicants must have a MS degree except in exceptional circumstances. Preferred candidates will have previous experience in all or some of the following: a demonstrated ability to work with GIS and R, a strong record of publication in peer-reviewed journals, and basic programming skills.
To apply, send (1) a letter of interest, (2) resume, (3) GRE scores, (4) transcripts, (5) writing sample, and (6) contact information (email and phone number) for three references to Prof. Taal Levi and Dr. Damon Lesmeister.
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