PostDoc position (m/f/d) in Data-Driven Social-Ecological Research
Core
Develop quantitative approaches to measure human-nature interactions and identify leverage points for biodiversity stewardship under climate change.
Role type
PostDoc researcher (data-driven social-ecological systems)
Builds
Coherent models of social-ecological system dynamics integrating ecological, social, and remote-sensing data
Domain
Social-ecological research, biodiversity, climate change
Deliverable
research
Required skills
R programming, quantitative analysis, statistical modeling, empirical ecological data analysis, social data analysis, academic publishing
Preferred skills
AI/ML methods, interdisciplinary collaboration, quantitative social science methods, third-party funding acquisition, trait-based approaches, adaptive capacity analysis
Responsibilities
Develop quantitative approaches to measure human-nature interactions; Integrate multiple data streams into coherent models; Identify leverage points for effective stewardship; Advance biodiversity monitoring frameworks; Publish in leading international journals; Collaborate across natural and social science groups
