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: December 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 meetings.
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.
Doctorate -fisheries or wildlife science, or relate
Qualified candidates will have a PhD in fisheries or wildlife science, or related discipline with a strong record of research productivity.
Experience with predictions from landscape-level attributes, 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
Please submit CV, letter of interest, and transcripts (unofficial).
Questions about the posting can be directed to Dr. Travis Brenden (email@example.com) or Dr. Kelly Robinson (firstname.lastname@example.org).
Review of Applications Begins On
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.
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