Postdoctoral Scientist (f_m_x) Reference Number 6227

Within the EU HORIZON-INFRA-2021-TECH-01 "DT-GEO" project we aim to deploy a prototype "Digital Twins" (DT) on geophysical extremes consisting of interrelated Digital Twin Components (DTC) dealing with different types of geohazards including natural and anthropogenic induced earthquakes, volcanoes and earthquake-landslide triggered tsunamis. Here, we are looking for a postdoctoral researcher contributing to the development of the DTC related to Anthropogenic Geophysical Extremes Forecasting. The successful candidate will use cross-scale (laboratory / in-situ) and interdisciplinary (seismology / geomechanics / industry) data to develop probabilistic Machine Learning (ML) / Artificial Intelligence (AI)-aided models that help understanding the preparatory process of anomalously large induced earthquakes related to geothermal energy exploitation.

Your responsibilities:

• Use spatio-temporal seismo-mechanical parametric data from laboratory experiments to develop AI/ML-aided regressive/​classification probabilistic models allowing to forecast the occurrence and magnitude of (anomalously large) induced earthquakes in geothermal reservoirs.
• Optimize, validate and further develop AI/ML-aided models for in-situ applications using empirical and synthetic data from a set of reference geothermal sites and DT reservoir modeling.
• Collaborate closely in an interdisciplinary context with other researchers working on the DTC development, implementing their feedback into AI/ML forecasting models.
• Creation of open-source software.
• Present, publish (ISI peer-review) and communicate research results at scientific meetings and in scholarly journals.

Your qualifications:

• Master's degree and PhD in computer science, geophysics, mathematics or closely related field
• Expertise in several of data science / machine learning / artificial intelligence / big data analysis / parametric time series analysis / statistics / seismology
• Knowledge on development, validation and optimization of ML/AI models (regression, classification, CNN/RNN, transform networks)
• Programming skills (AI/ML programming frameworks, e.g. pytorch or tensorflow, Python, MATLAB, SQL)
• Fluency in English (written/oral)
• Willingness to work in an interdisciplinary and international environment
• Knowledge of HPC, geophysics, seismology, geomechanics or geothermal systems will be considered a strong additional asset