We are offering an exciting 2-year postdoctoral position focused on the analysis, diagnosis, and prediction of landslides using cutting-edge theoretical and statistical frameworks. The successful candidate will work at the frontier of geohazard research, leveraging advanced methods such as the dragon-king theory, endo-exo framework, log-periodic power law singularity (LPPLS) theory, and other methods developed by Qinghua Lei and Didier Sornette and others. A unique aspect of this position is the opportunity to collaborate with the Norwegian Water Resources and Energy Directorate (NVE), a key partner in the project, and to work with their extensive and high-quality database of ongoing monitored landslides across Norway. This rare access provides an exceptional empirical foundation to test and refine theoretical models. The position offers the freedom to explore new directions, develop original approaches, and contribute to shaping the future of geohazard prediction.
For further information, see the attached [PDF].
Dear Prof,
This is Dr. Ferozkhan Safiyullah from saudi Arabia. I am writing to apply for the two-year postdoctoral position focused on landslide analysis, diagnosis, and prediction. I hold a PhD from Western Sydney University and have strong experience in developing predictive models for complex physical systems using a combination of theoretical, statistical, and data-driven approaches.
My research background includes nonlinear system modeling, statistical inference, and the analysis of large real-world datasets to identify precursory signals and improve prediction accuracy. I am particularly interested in the application of advanced frameworks such as dragon-king theory, the endo–exo framework, and log-periodic power law singularity (LPPLS) theory to geohazard processes, where internal instabilities and external forcing play a critical role.
The opportunity to collaborate with the Norwegian Water Resources and Energy Directorate (NVE) and to work with their high-quality monitored landslide datasets is especially appealing. I am motivated to rigorously test and refine theoretical models using empirical data while developing original approaches that advance landslide prediction and risk assessment.
I would welcome the opportunity to contribute to this project and discuss my suitability further.
Yours sincerely,
Dr. Ferozkhan Safiyullah
please apply directly to the position on the website indicated.