Research Scientist (Chargée de Recherche)
at CNRS,
Geoazur,
SAR team
I am a seismologist studying Earth surface processes through advanced signal processing, physical modeling, and geophysical observations, with a focus on rapid mass movements, unstable glaciers, and slope instabilities.
Geoazur, 250 rue Albert Einstein, 06500 Valbonne, France
malgorzata.chmiel [at] geoazur.unice.fr
Selected publications
Chmiel, M., Walter, F., Pralong, A., Preiswerk, L., Funk, M., Meier, L., & Brenguier, F. (2023). Seismic constraints on damage growth within an unstable hanging glacier. Geophysical Research Letters, 50, e2022GL102007. DOI
Chmiel, M., Walter, F., Wenner, M., Zhang, Z., McArdell, B. W., & Hibert, C. (2021). Machine learning improves debris flow warning. Geophysical Research Letters, 48, e2020GL090874. DOI
Chmiel, M., Roux, P., Herrmann, P., Rondeleux, B., & Wathelet, M. (2018). Data-based diffraction kernels for surface waves from convolution and correlation processes through active seismic interferometry. Geophysical Journal International, 214(2), 1468–1480. DOI
UNveiling dynamics of Rapid Erosion through advanced Seismic Techniques.
Floods and landslides are intensifying hazards, yet rapid erosion processes remain difficult to observe and predict. By developing a seismo–mechanico–hydrological approach, the UNREST project aims to monitor and anticipate these processes at high spatio-temporal resolution, providing new insight into the mechanisms that drive their transition to destructive events.
Project team
Bivas DAS — PhD student Seismic characterization of active rockslides: from internal deformation to mass movement dynamics
Odile DIB — PhD student Monitoring flash flood dynamics across multiple scales using seismology
Gabriela ARIAS — Postdoctoral researcher Seismic interferometry-based monitoring of the Spitze Stei rockslide
Sebastian OSORNO — Engineer Distributed Acoustic Sensing of debris-flow activity
Nicolas LEENHARDT — Engineer AI-based detection of rapid surface processes
