PhD Assistantship WVU to study invasive carp

West Virginia University
Morgantown, WV, USA
Job Category
Graduate Assistantships
approximately $21,00/yr plus tuition waiver
Last Date to Apply
The Division of Forestry and Natural Resources through Dr. Murry’s and Dr. Arantes’s labs at West Virginia University is recruiting two PhD students to begin in Spring/Summer 2022 to study factors driving and limiting the expansion of Invasive Carps in large rivers in the US. The students will identify and model hydrologic dynamics and watershed characteristics influencing year class strength, carp populations, and ecosystems processes. The work will entail some field work, but primarily the use of a combination of quantitative techniques. The student will also work closely with state and federal agencies to assemble and organize datasets and to interpret results in a management context as well as integrate results into actionable changes to existing mediation efforts. Funding will be supplied through a research assistantship with summer support for at least three years. Review of applications will begin on xxxx and will continue until the position is filled. Interested students are encouraged to email the following as a single pdf document directly to Brent Murry and Carol Arantes at and (please, include both PIs in your email): 1) a brief cover letter describing their professional background, relevant research experience and interests, career goals, and reasons for seeking a PhD degree, 2) a current curriculum vitae/resume, 3) names and contact information for three professional references, and 4) an unofficial copy of transcripts and GRE scores. Do not submit materials to the WVU Graduate School at this time. Information on the Davis College of Agriculture, Natural Resources, and Design: Information on the Wildlife and Fisheries graduate program are here: Information on Drs. Murry and Arantes (lab pages under development):
M.S. degree in ecology, fisheries, zoology, aquatic sciences, or related field with a minimum GPA of 3.0/4.0 is required. GRE combined scores > 300. Candidates should demonstrate written and oral communication ability, strong analytical skills and academic credentials, and ability to work independently and in a team. Competence in computer modeling, statistical analysis (Bayesian and frequentist approaches), and/or GIS analyses are highly desired.
Contact Person
Brent Murry & Carol Arantes
Contact eMail
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