Werkstudent - Machine Learning & datenbasierte Prozessmodellierung (m/w/x)
Core
Analyze, prepare, and visualize data from metal machining processes; develop and validate physics-informed machine learning models by integrating physical process knowledge with data-driven approaches.
Role type
Werkstudent (Machine Learning & Process Modeling)
Builds
Physics-informed ML models for metal machining processes
Domain
Manufacturing / Metal Machining / Physics-Informed Machine Learning
Deliverable
production ML models
Required skills
Python, Data analysis, Physics-informed Machine Learning, Scientific Machine Learning, Experimental validation
Preferred skills
CNC metal machining, Process modeling, Simulation, Physical modeling
Technologies
Python
Responsibilities
Analyze and visualize data from metal machining processes; Investigate relationships between process parameters and outcomes; Develop and compare data-driven and physics-informed models; Integrate physical process knowledge into ML approaches; Validate models using experimental data and conduct experiments on the shop floor; Document, evaluate, and present results.