We seek a Post-Doctoral Research Associate with background in fisheries or statistics to conduct research on population dynamics, stock assessment, and/or harvest policy evaluations of Great Lakes fish populations and fisheries. Project will likely involve simulation modeling and analysis of applied data from commercial and/or recreational exploited Great Lakes fisheries. Depending on the project, research may be conducted under a management strategy evaluation framework. The hired associate will have an opportunity to work with federal, state, and university biologists in research endeavors. The hired associate will also provide modeling/analytic support to biologists/researchers with fishery management agencies in the Great Lakes basin. We will begin reviewing applications as they are received and continue looking at applications until the position is filled--applications should be sent to the website link, while questions can be directed to the email listed below.
Qualified candidates will have a PhD in fisheries or wildlife science, or related discipline with a strong record of research productivity. Familiarity with R software programming and contemporary statistical methodologies (such as generalized linear modeling, hierarchical modeling, Bayesian inference, and sampling/experimental design) is required. Previous experience with stock assessment and/or fish population modeling, management strategy evaluation, and/or decision analysis is highly desirable. Experience with programming in TMB or STAN is also desired. Preference will be given to candidates with demonstrated experience engaging agency personnel and stakeholders at the interface of technical analysis and resource management.