Rsch Pro 5-Env & Nat Resource, Dr. Fairfax Beaver Lab

Details:

Posted: 08-Aug-25

Location: Minneapolis, Minnesota

Categories: Research - Laboratory/Non-Laboratory, Staff/Administrative

Internal Number: 369612

Please note: This is a one-year appointment from 8/25/25-8/24/26, and may be renewed depending on PI funding outcomes.

75% - Research about Beavers and Beaver Mimicry in North America
- Utilize beaver occupancy models, as well as performing QA/QC on AI beaver identification model outputs, to evaluate the potential population count and distribution of beavers.
- Use/develop appropriate computer modeling and remote sensing techniques to estimate vegetation greenness, burn severity, and total water and carbon storage in actual and potential beaver occupancy scenarios.
- Use/develop geospatial models for wildfire behavior and progression in and around riparian corridors influenced by beaver ecosystem engineering.
- Participate in planning and execution of field work as needed.
- Interface with partner organizations.

25% - Writing, Publications, and Outreach
- Write manuscripts for peer-reviewed publications based upon research findings.
- Develop oral presentation materials detailing research findings.
- Attend conference(s) relevant to research and share findings.
- Engage in outreach events in the community to share research findings with the public.

Required Qualifications
- A master’s degree in geography, GIS, environmental science or a related discipline by the start date with one or more years of research training.
- Advanced computer modeling skills, including experience with machine learning and/or automation, and spatiotemporal modeling.
- Experience piloting drones for research and processing drone data.
- Part 107 certified or willing to get certified.
- Strong knowledge of beaver ecosystem engineering.
- Strong knowledge of remote sensing.
- Strong knowledge of wetland ecosystems, hydrology, and classifications.
- Previous experience working with the BRAT (Beaver Restoration Assessment Tool) model.
- Strong writing and public communication skills.
- Familiarity with the following software, languages, and tools: R, Python, ESRI suite, QGIS, Pix4D, IFTDSS.
- Prior professional experience in educational or community-focused environments where science communication is a part of job duties.