The successful candidate will work under an NSF Research Traineeship called UandI-DEECoDE (pronounced “You and I decode”), which stands for Understanding Invasion and Disease Ecology and Evolution through Computational Data Education. This Research Traineeship aims to address the absence of interdisciplinarity across invasion biology, disease ecology, and data science by effectively bridging these disciplines and improving the pace and magnitude of scientific discovery across these fields (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2151820&HistoricalAwards=false).
As a funded doctoral trainee in the UandI-DEECoDE program, the successful applicant will have access to funds for travel and research, along with a one-year stipend. This stipend can be used to cover graduate school fees and living expenses. Continuing support for salary and tuition will come from university program funds or other external grants from academic mentors.
Trainees will be able to participate in a student leadership committee to help ensure the program’s longevity and that students’ needs are being met. Additionally, annual winter data bootcamps and summer professional development institutes will be organized. These will be opportunities for funded and non-funded students to collaborate on scientific case studies, hear guest speakers, and present research ideas or findings.
Contact: To apply, pleased send the following to Kyle Gustafson (kgustafson@astate.edu) with the subject line “NRT AGFC PhD application”: (1) One-page cover letter detailing your interests and qualifications for the position, (2) CV, (3) unofficial transcripts, (4) a writing sample (if possible), and (5) contact information for three professional references. You may also provide (6) any GRE scores, although they are not essential.
Review of applications will begin immediately and continue until the position is filled, but priority will be given to applications received by January 1, 2023. Selected finalists will then be directed to apply for the UandI-DEECoDE program, which has a deadline of January 15, 2023. The position starts August 2023.
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