Postdoctoral Research Associate - Data Analyst for Invasive Plant Ecology and Management
The Prince Lab at the University of Florida’s Center for Aquatic and Invasive Plants (UF/CAIP) (https://plants.ifas.ufl.edu/) is recruiting a postdoctoral research associate for a project that seeks to understand how aquatic plant invasions affect native plant species, water quality, and fish populations in Florida waterbodies. This project is funding by the U.S. Army Corps of Engineers Aquatic Plant Control Research Program.
The successful candidate will work with several long-term datasets collected by state and federal agencies, as well as citizen science organizations, to answer questions about the impact of aquatic invasive plants and their management. Our focus is on the submersed aquatic plant hydrilla (Hydrilla verticillata), as well as the floating plants water hyacinth (Eichhornia crassipes) and water lettuce (Pistia stratiotes). The postdoc will work closely with Candice Prince (UF Agronomy and CAIP), Luke Flory (UF Agronomy), Mark Hoyer (UF Florida LAKEWATCH), James Leary (UF Agronomy and CAIP), and Andrew Carlson (UF School of Forest, Fisheries, and Geomatics Sciences).
A Ph.D. in ecology, environmental science, fisheries, or a closely related field is required for this postdoc position. Ideal candidates will have strong statistical analysis skills, experience working with observational datasets they did not collect themselves, and excellent demonstrated writing and presentation skills. Experience with invasive aquatic plant ecology and management would be helpful, but is not required.
1. Cover letter that includes a description of relevant prior experiences
3. The names of three references
4. Link to previous R scripts you have written that are publicly available (e.g., GitHub, archived for a journal) or include an R script (or multiple) used for a project. Script(s) should demonstrate Required qualifications 1 and 2 and don’t need to be reproducible. Please also include a brief description the purpose/results of R script(s) provided.
5. One scientific journal article or other piece of writing in which your writing is well represented (topic need not relate to this job posting).
Please send application materials to:
The University of Florida is an equal employment and affirmative action employer and provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status
1. Comfortable using R for importing, cleaning, and analyzing data and creating data visualizations
2. Confidence performing regression analysis (e.g., fitting and evaluating generalized linear regression models in R)
3. Experience writing for scientific audiences
4. Willingness to read and interpret existing R code written for this project
5. Interest in aquatic ecology and invasive plant management
1. Experience working with observational datasets or datasets you did not collect yourself
2. Experience with geospatial analysis
3. Experience with time-series analysis