Bachelor Thesis Student Machine Learning CFD | Bachelorand Machine Learning CFD (m/w/d)
Enrichment Technology Company Limited
Job Summary
This role is for a Bachelor's thesis student to develop and implement Machine Learning algorithms for Computational Fluid Dynamics (CFD) simulations. The successful candidate will program Machine Learning algorithms in Python, linking modern ML methods with 3D CFD simulation data. Key responsibilities include analyzing and developing meta-models based on existing CFD simulations of compressors, with the ultimate goal of creating efficient, data-driven models for complex flow processes and reducing computational effort in numerical optimization while maintaining model accuracy. This is an excellent opportunity for a student in engineering, computer science, or physics with an interest in data-driven optimization and a basic understanding of numerical simulation and thermodynamics.
Required Skills
Education
Bachelor's degree in Engineering, Computer Science, Physics, or a comparable field (currently pursuing)
Experience
- Interest in data-driven optimization methods
- Basic understanding of numerical simulation and thermodynamic processes, fluid mechanics, or heat transfer
- Experience with Python and Machine Learning libraries
Languages
Additional
- Not specified
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