PhD Studentship: Monitoring Complex Ecosystems and Critical Transitions

This PhD position at the University of Exeter focuses on identifying early warning signals of critical transitions in complex natural systems. The research involves applying and extending an open-source Julia-based toolkit to analyze noisy, multiscale time series data from soil ecosystems and seismic geohazards. Candidates will work at the intersection of dynamical systems theory, data science, and environmental research to distinguish real transitions from statistical noise. The project aims to provide actionable insights for climate change response, land management, and geohazard preparedness. The successful applicant will collaborate with the Earth Rover Program and contribute to high-impact, open-source scientific software.

• Develop and refine open-source Julia-based toolkits for detecting critical transitions in time series data.
• Analyze seismic datasets to identify potential signals preceding earthquake ruptures.
• Investigate soil ecosystem dynamics to understand drivers of state shifts in agricultural and natural environments.
• Construct rigorous statistical frameworks to quantify confidence in detected transitions versus noise.
• Collaborate with the Earth Rover Program on real-world environmental monitoring applications.
• Disseminate research findings through high-impact scientific publications and software contributions.