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Research Associate-Fixed Term

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Back to search results Apply now Job no: 662340
Work type: Faculty/Academic Staff
Major Administrative Unit / College: College Of Agriculture And Nat Resources
Department: Fisheries And Wildlife 10002344
Salary: Salary Commensurate with Experience
Location: East Lansing
Categories: Full Time (90-100%), Fixed Term Academic Staff, Research/Scientific, Non-Union

Position Summary

We seek a Post-Doctoral Research Associate with a strong background in statistics/modeling to participate in a project to 1) predict available fish production (community and species-specific) in lakes and reservoirs across the U.S., 2) model how double crested cormorant (DCCO) prey demand may affect yield in these systems, and 3) use these models in structured decision making techniques to develop a framework for deciding how to allocate fish production between fishery management needs and for the needs of DCCO. The hired associate will also work to integrate the production and demand models from goals 1 & 2 into the larger decision-making framework developed for goal 3. The hired associate will work closely with a technical working group comprised of a mixture of highly-engaged federal, state, and university biologists in picking appropriate modeling approaches for predicting fish production and in developing the framework for how to allocate production to competing interests (DCCO, anglers, etc.). The intent of the project is to provide federal and state agencies with a scientifically based means by which to frame resource allocation decision making, particularly with respect to DCCO and the need to control DCCO populations, across a wide variety of water bodies.

Expected start date October 1, 2020.

Duties and Effort Level:

10% = conduct scientific literature review identifying models for predicting fish production (community-level or species specific) in Midwest lakes and reservoirs 10% = compile existing databases of fish production estimates for lakes and reservoirs as well as explanatory landscape or lake-level attributes that could be used to predict fish production across a variety of Midwest lakes and reservoirs 10% = obtain new data from federal, state, tribal, and university biologists for generating fish production estimates in Midwest lakes and reservoirs 20% = evaluate different modeling approaches for predicting fish production (community-level or species species) in Midwest lakes and reservoirs 20% = co-lead/participate in the structured decision making process to identify objectives for DCCO management and options for meeting those objectives 20% = develop and use stochastic simulation models to predict how successful different actions are in meeting management objectives 10% = prepare reports, articles, and manuscripts for publication; give oral presentations at scientific and technical

Required Degree

Doctorate -fisheries science, wildlife science, or

Minimum Requirements

A strong quantitative background and record of research productivity in quantitative methods.

Desired Qualifications

Experience in double-crested cormorants, fish production modeling, and structured decision making is desirable, as well as experience or desire to work with stakeholders and agency personnel.

Required Application Materials

CV, letter of application, unofficial transcripts, name and contact information of 3 references

Review of Applications Begins On

08/17/2020

Website

www.canr.msu.edu/qfc/ 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.

Our Mission is to build local, national, and international capacities to conserve ecosystems that support fish, wildlife, and society through integrated programs in research, education, and engagement.  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.

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Applications close: Eastern Daylight Time

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