Graduate student opening (Ph.D./M.S.) - Spatial ecology of invasive species

The Kramer laboratory in the Department of Integrative Biology at the
University of South Florida is seeking a graduate student to study the
spatial dynamics of invasive species using computational approaches,
including machine learning and species distribution models. Research in the
lab includes the population ecology of invasion, extinction and species
coexistence. This project will build on previous work on forecasting
potential invaders and patterns of spatial spread. Applicants interested in
species distribution models, spatial dynamics, or aquatic invasive species
are particularly encouraged to apply. Position will start in August, 2019. 

Competitive applicants will have quantitative skills and strong oral and
written communication abilities. Applicants with previous experience in
ecological research, statistics, computer code, and/or spatial analysis are
preferred. 

Positions will be competitively funded through a combination of teaching and
research assistantship support. Tuition (not including fees), medical
insurance, and travel to professional meetings are covered. Students are
also encouraged to apply for external fellowships such as the National
Science Foundation Pre-doctoral Fellowship (https://www.nsfgrfp.org).

*To Apply*
For consideration please email a cover letter stating your research interest
and qualifications, your CV with names and contact information for 3
references, unofficial transcripts, and GRE scores to Dr. Drew Kramer by
October 31st. Application to the department will also be necessary, with a
preferred deadline of November 30th. Please contact me with any inquiries
for additional information or to arrange a phone call.

To learn more about the Department of Integrative Biology please visit
http://biology.usf.edu/ib/. The University of South Florida is a diverse
research university located in Tampa, FL http://www.usf.edu/. USF is an
Equal Opportunity Employer and does not discriminate on the basis of race,
color, marital status, sex, religion, national origin, disability, age,
genetic information, gender identity and expression, sexual orientation, or
veteran status.

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