Position Summary

Position description and assigned Duties: We seek an academic specialist with a strong background in statistics/biometry to serve as lead/co-lead/cooperator on a variety of statistical and modeling projects focused on the management and assessment of Great Lakes fisheries, including native, invasive, and recreationally/commercially exploited species.  The specialist is anticipated to participate in a variety of research projects involving stock assessment methodology, harvest policy analysis, management strategy evaluation, and structured decision making.  The specialist will also provide modeling/analytic support to biologists/researchers with fishery management agencies in the Great Lakes.  The specialist will also participate in the preparation and delivery of on-line and short-courses on quantitative fisheries methods, lead/assist in preparing/editing reports to funding organizations and articles for peer-review publication, give presentations at professional meetings and to funding partners.   

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

Required Degree

Doctorate -statistics/fisheries science or related

Minimum Requirements

Qualified candidates will have a PhD in statistics/fisheries science or related discipline.  Familiarity with contemporary statistical methodologies, including generalized linear modeling, hierarchical modeling, Bayesian inference, and sampling/experimental design is required.  Preference will be given to candidates with demonstrated interest in engaging agency personnel and stakeholders at the interface of technical analysis and resource management.

Desired Qualifications

Previous experience with stock assessment and/or fish population modeling, management strategy evaluation, and/or structured decision making projects is highly desirable as is familiarity with analyzing or designing creel surveys, and mark-recapture/tag-recovery studies. 

Required Application Materials

CV, letter of application (describing background, experiences, skills, and career aspirations), unofficial transcripts, names and contact information for 3 references.

Review of Applications Begins On

03/01/2021

Website

https://www.canr.msu.edu/fw/

Department Statement

The Department of Fisheries and Wildlife was established in 1950 with faculty drawn from several different units. Since that time, both the faculty and the issues of importance in fisheries and wildlife have changed significantly. Our Mission, Vision, and Values build on our core strengths and prepare us for continuing change in societal needs, scientific understanding, and educational priorities. 

We believe a diverse, inclusive working and learning environment enriches the department and fosters innovation in teaching, research, and engagement with partners and the public.  We expect all members of the department to uphold the highest ethical standards in our work and personal conduct, with shared responsibility and accountability. We act in keeping with our values, mission, and vision.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.