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