PhD position using deep learning for wildlife ecology

PhD Student Research Assistant: Bioacoustics and camera trap deep learning for wildlife community ecology – Oregon State University


The Levi and Lesmeister Labs at Oregon State University and USFS Pacific Northwest Research Station are accepting applications for a PhD Graduate Assistantship. We are looking for an experienced PhD. graduate student to begin in Fall 2019 for dissertation research focused on (1) implementation of convolution neutral networks for automated species detection using bioacoustics and camera trap data; (2) quantifying spatiotemporal dynamics in species distribution, abundance, and interactions; and (3) making inference about species response to forestry, development, and other land use change. The PhD 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 modelling. 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 ( Application deadline: January 31, 2019.