Wissenschaftler Statistik und Datenanalyse im Bereich Detonationsphysik (all genders)
Tasks
- Build surrogate models using data driven and physics informed machine learning
- Collaborate with experts across experiment simulation measurement and system development
- Develop validate and apply uncertainty quantification methods for high dynamic processes
- Manage and acquire research projects
- Model analyze and interpret complex processes using simulation and data analysis infrastructures
- Present results in conferences and peer reviewed journals
- Transfer models and workflows to research partners and industry
Perks/Benefits
- Cafeteria
- Corporate benefits
- Flexible work hours
- Job ticket subsidy
- Library access
- Mobile work
- Parking
- Participation in Volunteer Fire Brigade
- Pension scheme
Skills/Tech-stack
Data Analysis | Data-Driven Modeling | Data-driven | Deep learning | Machine Learning | Model Validation | Modeling | Numerical Simulation | Physics-informed machine learning | Probability theory | Python | Simulation | Statistical modeling | Surrogate modeling | Uncertainty Quantification
Education
Roles
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