Graduate Research Assistant – Drivers of Cisco Recruitment – University of Minnesota, Twin Cities

Agency
University of Minnesota
Location
Twin Cities, Minnesota
Job Category
Graduate Assistantships
Salary
$25,622 + tuition and benefits
Last Date to Apply
11/30/2021
Website
https://mncoopunit.cfans.umn.edu/
Description
University of Minnesota Department of Fisheries, Wildlife, and Conservation Biology Graduate Research Assistant Position Description Start date: Aug 2022 Location: Twin Cities I am recruiting a graduate research assistant to start August 2022 to work on Lake Superior cisco populations. The successful candidate will work as part of a collaborative team to evaluate several questions regarding abiotic (e.g., weather and climate variables) and biotic (e.g., competitors or predators) drivers of cisco recruitment. Initial project work will be focus on meeting with collaborators with datasets; understanding the data (including any data cleaning); and learning the statistical model frameworks. The project will utilize three quantitative methods, including Bayesian methods and both linear and non-linear models. The results of the model will highlight areas for future research as well as provide meaningful information for fisheries management agencies focused on cisco. The project calls for multiple workshops on these methods to be taught to interested collaborators and stakeholders, the graduate student would play a lead role in these workshops. There is the possibility to start working on the project (paid) in Summer 2022. Responsibilities will include: • Collation and organization of data from state, federal, and tribal agencies to support synthesis and data analyses. • Meeting with collaborators and data keepers. • Application of the modeling frameworks to the data and conducting statistical analyses. • Lead data analysis, visualization, publishing manuscripts, and presenting/communicating results to a wide range of audiences. • Assist with quantitative workshops. • Contribute to report writing and budget management. Qualifications: Successful candidates must possess (by the position start date) a bachelor’s degree in biology, ecology, fisheries science, limnology, statistics, mathematics, or a related field. Strong preference will be given to candidates who have completed a master’s degree in a related field. A strong work ethic, good communication skills, attention to detail, interest in fisheries science with management implications, and the ability to work both collaboratively and independently are critical. Interest or experience in quantitative modeling (using R), database management, and data visualization are required. Stipend and Benefits: Graduate research assistants receive a stipend of $25,622 annually as well as tuition remission and health benefits. More information on benefits can be found at https://shb.umn.edu/health-plans/gahp-home To apply: Interested candidates should send an email with subject “cisco recruitment spots application” including a one-page cover letter describing their qualifications and interest along with their CV to Dr. Lynn Waterhouse (lwater@umn.edu). Applications will be accepted through the FWCB graduate program’s online application system following preliminary review of candidates. Formal applications to the graduate program are due November 30 and more information can be found here: https://fwcb.cfans.umn.edu/graduate
Qualifications
Successful candidates must possess (by the position start date) a bachelor’s degree in biology, ecology, fisheries science, limnology, statistics, mathematics, or a related field. Strong preference will be given to candidates who have completed a master’s degree in a related field. A strong work ethic, good communication skills, attention to detail, interest in fisheries science with management implications, and the ability to work both collaboratively and independently are critical. Interest or experience in quantitative modeling (using R), database management, and data visualization are required.
Contact Person
Lynn Waterhouse
Contact eMail
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