The Department of Biology at the University of Minnesota Duluth (UMN-D) has an opening for a postdoctoral research associate. This is a P&A position, job code 9546. This is a full-time, 12-month position with an anticipated funding period of one year. This opportunity is supported through the National Science Foundation (NSF-DEB 2232106). The selected applicant would be an employee of UMD, advised by Dr. Amanda Grusz.
We seek a strong candidate to collaborate on a drought-driven study focused on the evolution of reproductive mode in plants. The goals of this research are (1) to generate a robust phylogeny for the focal clade using target enrichment and phylogenomic approaches; (2) to assess climatic and reproductive traits across the focal clade; and (3) to train next-generation researchers in classical and cutting-edge biodiversity techniques. An ideal candidate will have experience conducting cytogenetic surveys, fieldwork and herbarium studies, and a background in molecular systematics and/or bioinformatics. A background in pteridology would be an additional strength. The primary sites of study will be at UMN-D (Duluth, MN) and in the southwestern United States. The position will encompass the analysis of existing data and the generation of new information from laboratory and field studies.
Review of complete applications will start November 1, 2023, and continue until the position is filled. The appointment begins January 2, 2024.
Major Job Duties:
Fieldwork: Collecting voucher specimens and conducting microhabitat monitoring (15%); Data collection and analyses: Herbarium surveys, molecular and phylogenomic analyses (35%); Graduate and undergraduate supervision and mentorship: (25%); Writing articles for peer-reviewed scientific journals (20%); Presenting research findings at meetings/conferences (5%).
The Employer retains the right to change or assign other duties to this position.
PhD in biology, botany, bioinformatics, or a related field from an accredited college or university at the time of hire; Demonstrated experience using classical and cutting-edge systematic approaches (e.g., chromosome counts, flow cytometry, fuelgen microdensitometry, target enrichment, phylogenomics, bioinformatics).