We seek a candidate with strong data analysis and writing skills and an interest in analyzing patterns in aquatic fauna biogeography and biodiversity. The successful candidate will join a team of ecologists (led by Drs. Anett Trebitz, Joel Hoffman, and Erik Pilgrim at GLTED-EPA) that has generated multiple years of data pertinent to the goals of developing biological monitoring approaches and aquatic invasive species early detection capacity in the Laurentian Great Lakes. Additional mentoring will be provided by Dr. Donn Branstrator at UMD. The focus of this postdoctoral position is analysis, synthesis, and publication of existing data, although the candidate may also participate in planning and conducting new field and laboratory studies. Potential areas for focus include biotic survey outcome analyses, developing or applying new statistical approaches towards optimizing invasive species early detection monitoring, and examining the capabilities and limitations of DNA-based data vs. morphology-based data for assessment design and indicator development.
Writing manuscripts for submission to peer-reviewed scientific journals (50%);
Conducting statistical and geospatial analyses of biological data (45%);
Presenting research findings at conferences (5%).
PhD in oceanography, limnology, ecology, or related field from a regionally-accredited college or university;
Excellent record of scientific achievement as indicated by a publication record and extramural funding commensurate with time since PhD; OR a publication record of technical reports, patents or equivalent publications relevant to industry or government;
Excellent science writing skills in the English language as demonstrated by application materials, PhD thesis, and/or published manuscripts and reports;
Programming skills and/or multivariate and spatial statistics experience;
Demonstrated ability to work in a team environment.
Experience with biodiversity and biogeography patterns using a variety of statistical techniques;
Working knowledge of morphology-based and/or DNA-based methods for taxonomic identification;
Familiarity with freshwater North American aquatic fauna (e.g., plankton, benthic macroinvertebrates, and fish);
Excellent oral communication skills in the English language.
Internal Number: 334852
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