Description: We seek a highly motivated MS student for a fully funded program at the Quantitative Fisheries Center (QFC) at Michigan State University starting in August 2023. Applicants should have a background in ecology/fisheries, quantitative ecology, or statistics and have interest in inland fisheries sustainability, population dynamics, and modeling.
This project will use age-structured simulation models to evaluate the performance of data-limited methods like those currently used to assess Walleye sustainability across inland fisheries landscapes. Additionally, this project will involve extensive analysis and simulation of inland fisheries data and assessment methodologies, and the assistant will have the opportunity to work with a mixture of federal, state, and university biologists in applied inland fisheries endeavors.
Qualifications: Preference will be given to candidates with interest or experience conducting quantitative analyses in R or other programming languages. Additionally, preference will be given to candidates with experience using simulation methodologies. The position is a fully funded assistantship, which will cover the student’s stipend, tuition, and benefits.
Interested individuals should send a letter of interest, CV, a copy of transcript and GRE scores, and contact information for three references to Dr. Chris Cahill (firstname.lastname@example.org) and Dr. Holly Embke (email@example.com). Contact Person Chris Cahill, Holly Embke Contact eMail firstname.lastname@example.org Last Date to Apply 03/31/2023 Website https://www.canr.msu.edu/qfc/