In mountainous areas, rock landslides represent a major natural hazard that threatens the safety of residents and infrastructure. It is also widely recognized as the primary erosion mechanism driving hillslope erosion and landscape development in active mountain areas (e.g. Burbank et al., 1996). Diversity in rock weakness and geological settings leads to great diversity in landslide types, including depths and geometry of the failure surface. It also leads to a wide range of deformation rates, from rapid and catastrophic landslides to very slow deformations (a few meters/year) (Hungr et al., 2014). In this project, we hypothesize that the contribution of slow-moving landslides (SML) represents an underappreciated, if not missing, source of long-term erosion in mountainous terrain. If this hypothesis is verified, it should represent a major paradigm shift in our view of how mountain ridge slopes erode. Through this project, we aim to improve our knowledge about the response of slow landslides to climatic, seismic and anthropogenic influences, and explore the unappreciated risks caused by SML. The processes that control the rate of deformation of SMLs are complex and not fully understood. However, the stages of deformations usually involve a significant impact on groundwater (e.g. Agliardi et al., 2020). Hence, control of cyclic pore pressure increase must be introduced into any numerical model aiming to represent SML behavior. Currently, discrete element models appear to provide the important features needed to describe many mechanisms and deformation processes at the origin of landslides. Building on our recent work (Huber et al., 2024), we propose to explore the SML response to hydrological forcing using the open source code YADE-DEM (Angelidakis et al., 2024). The modeling strategy will follow several steps: 1. Introduce pore water effects into the existing model. 2. Introducing time-dependent deformation processes; 3. Reproducing the behavior of different landslides based on their geometry, structure and rheology; 4. Explore the sensitivity of SMLs to different forcing factors, for example changing the extent of seasonal water level rise as well as considering seismic shaking; 5. Extending the study from 2D to 3D. The selected locations will be used to calibrate the model. The position is open as part of the collaborative research project SLIDE: Evaluating the contribution of slow-moving landslides to erosion in the Himalayas, funded by the French National Research Agency (ANR) for 4 years. The SLIDE project started in November 2024 and involves 20 researchers from 3 research institutes (CRPG, ISTerre, ECGS in Luxembourg).