PhD Student Complex Systems Approaches to Dryland Resilience | PhD Student (f/m/d) Complex Systems Approaches to Dryland Resilience

Job Summary

This PhD position focuses on developing novel precursors for phase transitions in living systems, specifically targeting water-limited ecosystems and dryland resilience. The successful candidate will analyze spatiotemporal correlations in vegetation data, particularly near desertification transitions using simulated data, and subsequently test the accuracy of these precursors using remote-sensing data. Key qualifications include a Master's degree in Physics, Applied Mathematics, or a related field, coupled with knowledge of dynamical systems and network theory. Programming experience, particularly in Python, is highly desired. This role offers a unique opportunity within the Center for Advanced Systems Understanding (CASUS) in Görlitz, Germany, providing a structured PhD program, extensive networking, and the chance to contribute to cutting-edge research on societal challenges related to matter, health, and energy in an international, diverse environment.