?? PhD opportunity! ?? Would you like to work on a project that has the potential to hold significant societal impact? ? The ProjectLandslides are a major natural hazard that are often entwined and triggered by other hazards such as rainfall, floods, and earthquakes. Burgeoning population in a climate change regime have often driven human activity and settlements in geographical regions that have unstable slopes, exposing communities to the risk of landslides. This has led to an increase in landslides related disasters around the globe and less industrialised nations are disproportionately affected by all natural hazards, as evidenced by the recent landslide in PNG that has claimed the life of hundreds of people (https://lnkd.in/gwZARD2C ). The outcomes of this research will directly contribute to disaster preparedness and mitigation.This project will make the following contributions to landslide literature:1. Propose and investigate statistical methodologies for temporal change point detection, spatial point pattern methodology and various geostatistical methods including spatial generalized linear models.2. Interpret the suitability of the statistical methodologies against physics-based soil mechanics framework that govern the slope failure mechanism for both ductile and brittle soils.3. Consider the scalability of the investigated methods against various types of landslides and patterns of failure that can include rockfall, debris flow.4. Compare these statistical approaches with conventional state-of-the-art deterministic power-law based strategies that have origins in failure law in material science.? Supervisory teamSourav Das (Curtin University, statistician, project lead)Gopalan Nair (The University of Western Australia, statistician)Klaus Regenauer-Lieb (Curtin University, geophysicist)Cristina Vulpe (The University of Western Australia, geotechnical engineer)? You* Candidate with strong quantitative skills, including familiarity with statistical inference, multivariate statistics or machine-learning methods. Proficiency in one or more the programming languages R or Python, are desired for this project. * Must be eligible to enrol in PhD programs at Curtin no later than March 2025.? How to apply: please visit https://lnkd.in/gJr9Nahj for details