PhD Position in Machine Learning: The Swiss Seismological Service (SED) at the Department of Earth Sciences at ETH Zürich offers a fully funded 4-year PhD position in Machine Learning Seismology and Induced Earthquakes. The position, supported by the Swiss National Science Foundation (SNSF) funded project EFFSIMMSI, aims to advance induced earthquake forecasting and fracturing dynamics through innovative seismic monitoring and multi-sensor integration.
PhD Position in Machine Learning Seismology
Summary Table:
| Position | PhD in Machine Learning Seismology |
|---|---|
| Location | Zurich |
| Duration | 4 years, full-time |
| Starting Date | June – September 2024 |
| Funding | 100%, SNSF |
Study Area: The study focuses on Machine Learning Seismology and Induced Earthquakes within the framework of the SNSF-funded project EFFSIMMSI.
Scholarship Description: The project aims to develop novel seismic monitoring and analysis methods using machine learning techniques to enhance understanding and forecasting of induced earthquakes. It involves analyzing data from various scales and geological conditions worldwide.
Eligibility: Applicants must hold a Master’s degree in Earth Sciences, Physics, Mathematics, Computer Sciences, or related disciplines by September 2024. Strong skills in analyzing large datasets and machine learning are desirable, along with proficiency in scientific programming languages.
Required Documents:
- Motivation Letter (max 2 pages)
- Full CV
- Undergraduate and graduate transcripts
- Contact details of two referees
How to Apply: Submit applications online through the designated portal by June 15th, 2024. Applications should not be sent via email or postal services. The review process starts on May 24th, 2024, with early submissions encouraged for full consideration.
Last Date: The application deadline is June 15th, 2024. Early submissions are recommended, as the review process begins on May 24th, 2024.
For further information about the Swiss Seismological Service, visit our website. Questions about the position should be directed to Dr. Peidong Shi at peidong.shi@sed.ethz.ch (no applications).
