Post-Doctoral Associate

Details

Posted: 12-Mar-24

Location: Minneapolis, Minnesota

Salary: 1,307,540.00 - 1,845,974.00

Categories:

Academic/Faculty
Biological/Biomedical Sciences

Internal Number: 354604

Postdoctoral Associate - Nutrient Network (NutNet) & Disturbance and Resources Across Global Grasslands (DRAGNet) Projects
Duties:
Conduct and publish scholarly research within the broad purview of two globally replicated experiments manipulating nutrient supply, herbivores, and soil disturbance in grasslands worldwide: the Nutrient Network (NutNet; nutnet.org) and Disturbance and Resources Across Global Grasslands (DRAGNet: dragnetglobal.weebly.com). This work includes coordinating and managing the data from these experimental networks.  Effort allocation for this position is approximately as follows:
60% Conduct and publish independent scholarly research using existing NutNet or DRAGNet data. Collect and analyze new network-scale data from field sites or existing data sources to address novel questions.
25% Develop and implement data management tools and protocols to facilitate collaborative research using data generated by the Nutrient Network. Validate and incorporate new data into the central database.
15% Assist collaborators with decisions on experimental implementation, data collection, and data management. Maintain and develop DRAGNet and NutNet research and outreach websites. Help coordinate research meetings and collaborative interactions among project participants.
 

Minimum Qualifications:
A.        PhD and experience in ecology or closely related field.
B.        Analytical and programming skills concordant with PhD level training.
C.        Demonstrated ability to conceive, write, and publish high-quality scholarly papers.
Preferred Qualifications:
A.        Research background in topics related to the goals of the NutNet & DRAGNet research programs and complementary to the project PI’s including ecosystem science, plant-herbivore interactions, community ecology, theoretical ecology, or invasion ecology.
B.        Collaborative nature, excellent interpersonal skills, and demonstrated ability to facilitate interactions among a diverse group of scientists
C.        Organized, attentive to detail, able to coordinate projects, and able to work independently and as an effective member of a team.
D.        Experience that includes a diversity of skills in management and analysis of ecological data, particularly using R and SQL languages.
E.        Experience managing web-based databases and websites

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