RIKEN

RIKEN, a National Research and Development Agency, is Japan's largest comprehensive research institution renowned for high-quality research in a diverse range of scientific disciplines. Founded in 1917, initially as a private research foundation, RIKEN has grown rapidly in size and scope, today encompassing a network of world-class research centers and institutes across Japan.

Homepage: https://www.riken.jp/en/

The successful candidate will conduct research on big data assimilation for disaster prevention against heavy rainfall and urban flooding. This work will be carried out in close collaboration with the Data Assimilation Research Team at the RIKEN Center for Computational Science (R-CCS), which is co-located with and closely linked to our laboratory (with possible concurrent affiliation as necessary), as well as with other RIKEN centers and partner institutions both in Japan and abroad.
Active participation in the operation and management of the laboratory will also be expected.

1. Big data assimilation research for disaster prevention against heavy rainfall and urban flooding. The aim is to achieve rapid prediction of precipitation and flooding through precipitation nowcasting based on radar and satellite observations, the application of deep learning methods, and the development of a practical numerical weather prediction system using the highly original and globally outstanding "big data assimilation" technology. The candidate will also contribute to research on precipitation predictability and mechanisms. In addition, participation in the joint SATREPS project with Argentina is expected, which may include several months of research stay in Argentina each year.
2. Pioneering theoretical research in data assimilation. This includes utilizing insights from nonlinear dynamics, chaos theory, statistical mathematics, machine learning, artificial intelligence, and uncertainty quantification to develop methods for nonlinear and non-Gaussian systems and to explore the integration of AI and UQ with data assimilation.
3. Research to explore broad applications of data assimilation. This involves investigating the applicability and effectiveness of data assimilation across diverse fields and pioneering new areas of application.
4. Research on general predictive methodologies and theories beyond data assimilation. This includes developing prediction methods and theories applicable to a wide range of scientific fields.

See: https://www.riken.jp/en/careers/researchers/20250929_2/index.html