Masterarbeit: KI-basierte sensorlose Regelung von E-Antrieben (w/m/div.)
Core
Researching and designing AI-based control architectures for sensorless electric drive systems using neural networks.
Role type
Master's thesis researcher (control systems & machine learning)
Builds
Software-defined control algorithms for electric drives
Domain
Automotive/Industrial mechatronics, electric drives, machine learning
Deliverable
production ML models
Required skills
control theory, machine learning, Python, MATLAB, physical modeling of electric machines, simulation
Preferred skills
End-to-End neural network design, modular neural network design
Technologies
Python, MATLAB
Responsibilities
Analyze current ML approaches for sensorless control, develop novel AI-based control architectures, implement and validate algorithms in high-precision simulations, document methodology and present findings
Seniority
Master's student level
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