PhD position in Fire-Resilient Landscapes under Climate Change: Linking Land Management, Wildfire Risk and Ecosystem Recovery
Core
PhD research on how land management and landscape design influence wildfire risk and post-fire ecosystem resilience to develop decision-support tools.
Role type
PhD researcher (ecology & geospatial analysis)
Builds
Science-based decision-support tools for land and nature managers
Domain
Ecology, Fire Ecology, Geospatial Analysis, Climate Change
Deliverable
production ML models | dashboards & analysis | research
Required skills
Ecological modelling, Geospatial data analysis, Machine learning (Random Forests, XGBoost), Fieldwork, Statistical analysis, R programming
Preferred skills
Terrestrial ecology, Biodiversity conservation, Remote sensing
Technologies
R, Random Forests, XGBoost, Satellite imagery
Responsibilities
Integrate vegetation, ecohydrology, soils, and land use data into a harmonized geospatial database; Quantify wildfire risk using statistical and machine-learning approaches; Develop future management scenarios; Establish field monitoring plots across wildfire gradients; Evaluate ecosystem health indicators; Combine field observations with satellite-based recovery analyses; Collaborate with stakeholders and interdisciplinary teams.