Internship in the Development of Physics-Informed Neural Networks (PINN) for Microfluidic Simulation
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Renningen
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Internship in the Development of Physics-Informed Neural Networks (PINN) for Microfluidic Simulation
Renningen
Aktualität: 02.06.2025
Anzeigeninhalt:
02.06.2025, Bosch-Gruppe
Renningen
Internship in the Development of Physics-Informed Neural Networks (PINN) for Microfluidic Simulation
Aufgaben:
During your internship you will work on the further development of an in-house software tool for physical modeling in the context of microfluidics and on the development of a Physics-Informed Neural Networks (PINN) model in PyTorch for simulating microfluidics.
You will train and evaluate the PINN model using experimental and numerical data and integrate the trained model into the existing software environment.
Furthermore, you will optimize the PINN model's performance regarding computation time, memory requirements and accuracy.
Finally, you will collaborate within the development team and participate in regular meetings.
Qualifikationen:
Education: Master studies in the field of Mechanical, Computational, Software Engineering or comparable
Experience and Knowledge: very good in programming and machine learning techniques in Python (preferably with PyTorch); good knowledge in code optimization and test-driven software development; solid understanding of basic physics and math
Personality and Working Practice: you effectively analyze complex problems, work independently to find solutions, collaborate well with others, and communicate clearly
Enthusiasm: strong interest in the field of industrial research
Languages: fluent in German or English
Standorte