**Job Description**
This interdisciplinary Ph.D. project focuses on improving earthworm detection and assessing soil ecosystem health by analyzing substrate-borne vibrations. It involves coupling mathematical models of earthworm movement, stochastic models, and designed experiments, leading to the development of rigorous indices and Bayesian inference methodologies using data from Rothamsted Research.
**Skills & Abilities**
• Strong mathematical understanding.
• Interest in stochastic modelling, signal processing, and data science.
• Interest in earthworm ecology.
**Qualifications**
Required Degree(s) in:
• Statistics
• Mathematics
• Data Science
• Ecology (or a related quantitative science)
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