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    PhD Position in Machine Learning Seismology - Zürich, Schweiz - Swiss Seismological Service

    Swiss Seismological Service
    Swiss Seismological Service Zürich, Schweiz

    vor 5 Tagen

    Default job background
    fixed-term
    Beschreibung

    Job description

    The PhD student will focus on constructing and training advanced machine learning models tailored to characterize induced earthquakes recorded by various instruments, including distributed acoustic sensing, acoustic emission sensors, and geophones. With these efforts, the PhD candidate will improve the current state-of-the-art of real-time seismic monitoring and induced earthquake forecasting by implementing advanced machine-learning techniques and integrating physical understandings of rupture dynamics. The PhD candidate will apply the developed methodologies and models to various geological test sites to extract high-resolution earthquake catalogs, analyze rock rupture mechanisms, and benchmark different induced earthquake forecasting models.

    Your profile

    We are seeking a highly motivated candidate with a strong interest in machine learning, seismic monitoring and earthquake seismology . The ideal candidate should:

  • A Master's degree in Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is required. Applicants must have obtained their Master's degree by September
  • A strong foundation in analyzing large datasets and machine learning is highly desirable for this position
  • Proficiency in modern scientific programming languages (e.g., advanced Python, C, CUDA etc) and parallel computing would be advantageous
  • Strong background and experience in computational methods and earthquake monitoring would be an asset
  • The PhD student will be required to work as part of an international team. We presuppose abilities in coherent scientific teamwork, excellent communication skills (spoken and written English) and the capability of a good work organization as far as precise way of working
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