Bachelorand Machine Learning CFD (m/w/d)
Core
Developing efficient data-driven models to map complex fluid flow processes and reduce computational costs in numerical optimization for compressor simulations.
Role type
Machine Learning CFD Engineer
Builds
Production ML models and meta-models for compressor flow analysis
Domain
Nuclear energy / Computational Fluid Dynamics (CFD)
Deliverable
production ML models
Required skills
Python, Machine Learning (TensorFlow, PyTorch, Scikit-Learn), CFD simulation analysis, thermodynamic processes, fluid mechanics, heat transfer
Preferred skills
Data-driven optimization methods
Technologies
Python, TensorFlow, PyTorch, Scikit-Learn, 3D-CFD
Responsibilities
Programming ML algorithms in Python, linking ML methods with 3D-CFD simulation data, analyzing and developing meta-models based on compressor CFD simulations
Seniority
Entry-level (Bachelor's degree required)
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