Masterarbeit zur datengetriebenen Kraftvorhersage beim Rotationsschleifen in der Halbleiterindustrie (w/m/div.)
Core
Research project developing data-driven force prediction models for rotational grinding processes in the semiconductor industry using machine learning.
Role type
Master's thesis researcher (Machine Learning / Data Science)
Builds
Production ML models for force prediction
Domain
Semiconductor manufacturing / Industrial automation
Deliverable
research
Required skills
Python programming, Machine Learning frameworks (TensorFlow, PyTorch), Time series analysis, Sequence-to-Sequence regression, Symbolic Regression, Convolutional Neural Networks, Feature Engineering, Statistical evaluation (RMSE, MAE)
Preferred skills
Scikit-learn, Pandas, Mamba
Technologies
Python, TensorFlow, PyTorch, Scikit-learn, Pandas, Mamba
Responsibilities
Analyze existing force modeling methods, prepare time series data with feature engineering, implement and train ML frameworks, evaluate models using performance metrics, document and present results to the project team