Amphibians play an essential role in ecosystem balance but are particularly sensitive to anthropogenic impacts and are rapidly declining worldwide. This project aims to quantify amphibian behavioural responses to rapid environmental change. The PhD candidate will conduct research on the effects of rainfall patterns and habitat disturbance on reproductive phenology and spatial behaviour of anuran amphibians breeding in seasonal ponds. We will use passive acoustic monitoring, environmental sensors, and machine-learning-based analytical tools to quantify the influence of aquatic site hydroperiod and habitat disturbance on breeding activity and phenology. In addition, we will use remote sensing imagery, population genetics, and movement tracking to understand the impacts of habitat disturbance on amphibian dispersal and migratory patterns. The project will involve intensive fieldwork as well as processing large ecological datasets. Therefore, we seek a candidate with experience and a strong interest in ecological field research and biostatistics. English will be the primary work language. Additional experience in behavioural biology, amphibian ecology, population genetics, bioacoustics, machine learning, or programming will be strongly considered but is not required. Structured mentorship and training will be provided to the candidate to develop the practical tools for the project and transferable skills in research design, implementation, and dissemination.