PhD opportunity in landslide tsunami modelling

Website Norwegian Geotechnical Institute

On Safe Ground

NGI is seeking candidates for a PhD position related to numerical modelling of landslide tsunamis within our Section of Geohazards and Dynamics under the Offshore Energy Market Area. For more information about NGI, see https://www.ngi.no. The candidate will further be enrolled in the PhD program at OsloMet – Oslo Metropolitan University.

The position is attached to the Horizon Europe POSEIDON project (https://poseidon-dn.eu/) which is a Doctoral Training Network under the MSCA, including 13 individual Doctoral Candidates. The position is entitled “Efficient landslide tsunami model with generalized rheological properties” and has the number DC07 within the project. The overall objective of POSEIDON is to improve offshore infrastructure resilience against geohazards towards a changing climate. The topic for this PhD grant is to improve prediction capabilities related to submarine and subaerial landslide tsunamis.

The candidate will be responsible for developing a coupled landslide-tsunami model with optimized dispersion and to prepare and use the model for different types of scientific investigations to shed light on the physics of the tsunami generation processes. These scientific investigations may range from modeling benchmark tests, simulations of past events, and future hazard applications. An important focus of the model development will be to embed a realistic time-dependent material model into the landslide model to improve our conceptual understanding of the tsunami generation processes. The work should also include investigation of additional features such as landslide erosion and curvature effects on tsunami-genesis. We foresee developing a depth-averaged layered model applicable for both fully subaqueous landslides and landslides originating subaerially that will be implemented in a realistic 3D topography/bathymetry. We further envision that the model will be implemented using a Finite Volume scheme using GPUs to ensure a rapid execution time of the code.

To apply for this job please visit utwentecareers.nl.