The Swiss Seismological Service (SED) at the Department of Earth and Planetary Sciences (D‑EAPS) is seeking a motivated doctoral student to work at the intersection of statistical seismology and machine learning. This position is part of two EU‑funded projects: GeoTwins, which focuses on creating digital twins for geothermal systems, and Earth‑AID, which aims to develop an AI‑powered decision‑support system for geohazards. The position will contribute to advancing earthquake forecasting and risk management and improve our ability to mitigate induced seismicity in real time.

Job description

The doctoral student will develop, integrate, and evaluate forecasting models of induced and natural earthquakes. The responsibilities include:

• Model Integration: Incorporating state‑of‑the‑art models, specifically ETAS‑f and Oracle, into the SED's forecast management and scheduling system
• Systematic Evaluation: Performing rigorous model compariso...