Masterarbeit zur datengetriebenen Kraftvorhersage beim Rotationsschleifen in der Halbleiterindustrie (w/m/div.)
Core
Research project developing data-driven machine learning models for force prediction in semiconductor rotational grinding processes.
Role type
Master's thesis researcher (Machine Learning / Data Science)
Builds
Production ML models for force prediction in semiconductor manufacturing
Domain
Semiconductor manufacturing / Industrial automation / Machine Learning
Deliverable
production ML models
Required skills
Python programming, Sequence-to-Sequence Regression, Symbolic Regression, Convolutional Neural Networks, Mamba, Time series analysis, Feature Engineering, Scikit-learn, TensorFlow, PyTorch, Pandas
Preferred skills
None stated
Technologies
Python, Scikit-learn, TensorFlow, PyTorch, Pandas
Responsibilities
Analyze existing force modeling methods, prepare time series data with feature engineering, implement and train ML frameworks, evaluate models using RMSE/MAE metrics, document and present results
Seniority
Master's student researcher