Student (M/W/D) Für Praktikum Und /Oder Abschlussarbeit Zur Emotor-Simulationsvorhersage Durch Ki Und Machine Learning

✨ About The Role

- The primary objective of this internship or thesis is to explore how modern machine learning and artificial intelligence technologies can enhance the efficiency and speed of electric motor analysis.
- The focus will be on identifying challenges and developing solutions illustrated through a case study of a specific type of electric motor.
- Responsibilities include conducting literature reviews on relevant topics and constructing simulation models for performance calculations.
- The role involves defining and executing machine learning procedures and verifying AI-generated results through standard optimizations.
- The position offers an opportunity to work in a modern and international environment with flexible working hours, including the possibility of remote work.
                            

⚡ Requirements

- The ideal candidate is currently pursuing a degree in engineering, specifically in mechanical engineering or electrical engineering.
- Experience in simulation and calculation is essential, particularly in the field of electric machines, CFD, or FEA.
- Familiarity with software tools such as Ansys MotorCAD, Maxwell, Fluent, and OptiSlang will be advantageous.
- A strong understanding of electromagnetism, electric drives, heat transfer, optimization, and artificial intelligence is required.
- The candidate should be able to conduct literature analysis and build simulation models to assess motor performance and thermal behavior.
                            

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Student (M/W/D) Für Praktikum Und /Oder Abschlussarbeit Zur Emotor-Simulationsvorhersage Durch Ki Und Machine Learning

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✨ About The Role

⚡ Requirements

Student (M/W/D) Für Praktikum Und /Oder Abschlussarbeit Zur Emotor-Simulationsvorhersage Durch Ki Und Machine Learning

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