The Florida Natural Areas Inventory (FNAI) at Florida State University is looking for an experienced botanist to work under the supervision of FNAI’s senior botanist on an array of applied research projects supporting land management and conservation in Florida. Field work will include vegetation sampling, rare or invasive plant surveys and natural community delineation (GIS mapping). Work will be conducted on conservation lands from the Keys to the Panhandle. Work will be split between field and office time, but will involve a considerable number of long field days in often challenging conditions – extreme temperatures, humidity, sun, biting insects, dense vegetation. Candidates must be comfortable working in small groups, or sometimes alone, in areas with sporadic cell service, navigating to field sites through difficult terrain, and walking long distances.
This is a full time position with full university benefits.
Current FNAI projects that the candidate may assist with include:
• Rare plant surveys
• Wetland reference site characterization
• Natural community (ecosystem/vegetative community) mapping
• Invasive plant surveys and evaluation of treatment efficacy
• Vegetation monitoring plot data collection to inform land management
The Florida Natural Areas Inventory (FNAI) is Florida's Natural Heritage Program and state member of the NatureServe network. We are housed within the Florida Resources and Environmental Analysis Center at Florida State University. As the Florida Heritage Program, one of our primary responsibilities is maintaining a spatial database of information on Florida's rarest species and conservation lands but we also work on an array of applied research projects to inform conservation and land management decisions making with funding provided by state and federal agency partners. Our office is off-campus in Midtown which is centrally located near shops, restaurants, and historic neighborhoods. The larger Tallahassee region offers many outdoor recreation opportunities in the nearby Apalachicola National Forest and a number of coastal parks and refuges within a short drive from town.
1. Identify plants, collect data on vegetative structure and composition, and distinguish vegetative communities using standard field protocols
2. Process field data and prepare maps using ArcGIS, analyze spatial and tabular data
3. Participate in meetings with co-workers, and agency partners as necessary to coordinate project activities and present results as required by project.
4. Assist in the completion of technical reports and/or manuscripts upon project completion.
Applications must be submitted through the FSU website for consideration.
1. Bachelor’s degree in the botany or biological sciences (master’s degree or PhD preferred)
2. Minimum of one year (two years or more preferred) full-time experience collecting botanical field data.
3. Experience identifying plants using taxonomic keys and extensive knowledge of the flora of the southeastern US, preferably Florida.
4. Good organizational skills and meticulous attention to detail.
5. Ability to work independently and under pressure of deadlines and to provide written responses in a timely manner.
6. Ability to communicate well in person and in writing.
7. Ability to work well with FNAI staff scientists and other university or agency partners.
8. A commitment to conducting professional conservation work and delivering high quality products.
9. Willingness to travel frequently during the week for multi-day work trips in remote areas.
10. Excellent physical condition and the ability to conduct rigorous field work in adverse conditions.
Other Preferred Skills:
1. Experience with remote sensing, natural community and habitat interpretation from aerial photographs and satellite imagery.
2. Experience or familiarity with ArcGIS and database management software.
3. Experience/interest in primitive camping (camping on site during the cooler months allows FNAI staff to make good use of daylight in areas where hotels are far away)
4. Experience using R for data analysis.
5. Experience using python programming language.
6. Experience with LiDAR/Laser Scanner data processing and interpretation.