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Responsibilities- Develop new strategies for global sensitivity analysis using physics-based machine learning methods
- Integrate hierarchical surrogate models into traffic light systems for the monitoring of induced seismicity
- Further develop the code basis and contribute to the development of hybrid artificial intelligence systems
- Presentation of results on conferences and publication in peer-reviewed journals
- PhD degree in mathematics, computer science, or geophysics or related subjects
- Experience in the field of induced seismicity, mathematics, or computer science
- Programming skills in Python/C++ and experience in machine learning
- Good English language skills
- Ambitious and varied tasks in a dynamic and international research environment
- State-of-the-art equipment
- Public service benefits
- Extensive training opportunities
- Flexible working hours and conditions
Start of employment: 01st September 2024
Fixed-term: 36 months
Salary: Salary group 13 according to TVöD Bund (Tarifgebiet Ost)
Working hours: Full-time (39 h/week)
Place of work: Potsdam
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