Ph.D. Assistantship - 
Integrating new technologies to understand invasion ecology in 
Agroecosystems

We seek a highly motivated student to fill a fully funded Ph.D. position 
in the labs of Drs. Marcus Lashley and Garrett Street at Mississippi State 
University to study Invasion Ecology in Agroecosystems. This research is 
an extension of an ongoing 6+ year project (beginning year three now). The 
student will be expected to collect data with unmanned aerial vehicles 
(UAV) to integrate with other in situ data sets into a landscape modelling 
framework with the objective of predicting the spatiotemporal probability 
of human wildlife conflicts, the effects of swine invasion on native 
wildlife communities, and swine population vulnerability as predicted by 
island biogeography theory. The successful student will have access to 
large data sets from radiotags and accelerometers deployed on feral swine, 
remotely sensed agricultural data, a captive feral swine facility, the 
Center for UAV Research, and camera traps deployed in remnant forest 
patches across Agroecosystems of the Mississippi Alluvial Valley. 

Required Qualifications: Successful completion of the FAA UAS training 
will be required within the first semester. Possess or obtain a driver’s 
license. Ability to work in teams or individually in secluded and remote, 
hot and humid conditions, where most organisms want to sting, bite, or 
puncture you.

Preferred Qualifications: Strong quantitative, GIS, and written skills are 
desirable. Strong interpersonal skills, fun attitude with a good sense of 
humor, and desire to promote research and technology transfer through 
social media and public speaking.

Interested applicants should submit via email a cover letter outlining 
your interest in the project, a current curriculum vitae, contacts for 
three references, and an example of writing (preferably a peer-reviewed 
publication) to Dr. Marcus Lashley, marcus.lash...@msstate.edu.
We will be accepting and reviewing applications immediately until a 
suitable applicant is found. Start date is flexible but intended for 
August 2018. 

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