Data Scientist for Seismicity Prediction
Vor 7 Tagen
Project Overview
The Helmholtz Centre Potsdam is seeking a highly motivated PhD researcher to work on a project focused on the predictive assessment of induced seismicity through hierarchical physics-based machine learning methods. The project aims to develop and optimize hybrid artificial intelligence systems for sparse data applications, incorporating physical knowledge to produce explainable models.
Key Responsibilities
- Develop an optimal experimental design strategy for monitoring system placement using machine learning surrogates
- Determine the influence of different data sources on seismicity prediction
- Further develop the code basis for the project
- Present results on conferences and publish in peer-reviewed journals
Requirements
- Master's degree or equivalent in mathematics, computer science, or geophysics, or related fields
- Interest in research and applications in induced seismicity
- Programming skills in Python and experience in machine learning
- Good English language skills
What We Offer
- Ambitious and varied tasks in a dynamic and international research environment
- State-of-the-art equipment and facilities
- Public service benefits and comprehensive training opportunities
- Professional career advice and support
- Flexible working hours and conditions
About the Position
The PhD position is part-time (75%) and will be filled for a fixed term of 36 months. The salary is according to the TVöD Bund (Tarifgebiet Ost) collective wage agreement. The working hours are 29.25 hours per week, and the place of work is Potsdam.
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