Post-Doctoral Associate Position: Analysis of Meta-analysis

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Post-Doctoral Associate Position: Analysis of Meta-analysis

Postby Peacor » Fri Mar 17, 2017 12:45 pm

Position: Post-Doctoral Research Associate

Agency: Department of Fisheries and Wildlife, Michigan State University

Description:
We seek a research associate to play an important role in a quantitative project examining the application of meta-analysis (MA) in ecology and evolution. MA is a powerful tool that plays a critical role in science and informs policy. We have identified several potential issues in the application of MA which may be exacerbated by the nature of ecological data. We seek to ascertain conditions under which different MA methods work best, including methods developed during the project, given the characteristics of ecological data. This will be done with experiments using simulated data with known properties; characteristics of data (e.g., sample sizes, how variation is allocated among sources) and MA method (e.g., effect size metric, variance estimators) will be systematically varied. By probing performance under known conditions, the results will reveal the conditions in which each method can best be applied (e.g., is efficient, relatively unbiased, and provides valid assessment of uncertainty). This will yield "best practices" for ecologists and make the application of MA in ecology more reliable and robust. The postdoc will work as part of a team that involves James Bence and Scott Peacor (Michigan State Univ.), Craig Osenberg (Univ. of Georgia) and graduate students. The postdoc will be hosted at MSU's Quantitative Fisheries Center (QFC), and have opportunities to interact with QFC staff working on a range of quantitative ecological and natural resource issues. The incumbent may use this as an opportunity to perform MA on a topic of their choice in a way that compliments the ongoing project.

Qualifications:
PhD in statistics, ecology, evolution or related discipline with a strong record of research productivity in quantitative methods is required. Preference will be given to candidates with strong programming skills, and strong mathematical, statistical, and ecological background.

Salary:
$47,500 per year plus benefits. Initial appointment is for 1 year with possibility of extensions for subsequent years on an annual basis.

Closing date:
4-18-2017

Contact:
All applicants must apply via http://www.jobs.msu.edu search posting # 5131. Please submit your CV, letter of interest, and transcripts (unofficial). Inquiries about the posting can be directed to Dr. James Bence (bence@msu.edu). Please CC Dr. Scott Peacor (peacor@msu.edu). Please include CV with inquiries.
Peacor
 
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