PhD Student Research Assistantship – Corvallis, Oregon

Agency
Department of Forest Ecosystems and Society, Oregon State University
Location
Corvallis, OR
Job Category
Graduate Assistantships
Salary
approximately $2,200/month plus paid tuition
Start Date
01/10/2021
Last Date to Apply
09/01/2020
Website
http://www.damonlesmeister.com/prospective-students-and-collaborators.html
Description
We are looking for a highly motivated and experienced PhD graduate student to begin in Fall 2020 or January 2021. Dissertation research will focus on (1) implementation of convolution neutral networks for automated species detection using bioacoustics; (2) quantifying spatiotemporal dynamics in species distributions, abundances, and interactions; and (3) making inference about species response to forest management and other land-use change. The PhD student should be intellectually curious, highly motivated, and have a demonstrated capacity to pursue independent research interests. This position requires strong ecological and analytical capacity and aptitude. The student will work with Dr. Betts and Dr. Lesmeister based out of Corvallis, Oregon. This is an excellent opportunity for students interested in avian ecology, conservation, and management, and for students who would like to apply quantitative and computational methods to inform causes of North American bird declines. To apply, send (1) a letter of interest, (2) resume, (3) GRE scores, (4) transcripts, (5) a publication example, and (6) contact information (email and phone number) for three references to Prof. Matt Betts (matt.betts@oregonstate.edu) and Dr. Damon Lesmeister (Damon.Lesmeister@oregonstate.edu). For full consideration please send application materials by Sept. 1, 2020. We will accept applications until the position is filled. For more information on our labs see: Betts: http://www.fsl.orst.edu/flel/index.htm, Lesmeister: http://www.damonlesmeister.com
Qualifications
Successful candidates will be accomplished in writing, statistics, computer coding, 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.
Contact Person
Damon Lesmeister
Contact eMail
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