Bachelor Thesis Student - Machine Learning and CFD | Bachelorand Machine Learning CFD (m/w/d)

Job Summary

This position offers a unique opportunity for a student to complete their Bachelor's thesis within a high-tech international environment focused on nuclear energy and sustainable technology. The successful candidate will work at the intersection of data science and mechanical engineering, specifically focusing on the optimization of compressor systems. Day-to-day responsibilities involve programming Machine Learning algorithms in Python to create efficient meta-models based on 3D Computational Fluid Dynamics (CFD) simulation data. The primary goal is to develop data-driven models that can accurately represent complex flow processes while significantly reducing the computational effort required for numerical optimization. This role is ideal for individuals passionate about applying modern AI methods to physical systems, offering the chance to contribute to the efficiency of low-carbon energy technology in a highly specialized industry.