Master Thesis: AI for Real-Time Microstructure Monitoring Using Laser Ultra
Core
Develop and evaluate AI/ML models to predict grain size and classify microstructure states from raw Laser Ultrasonic (LUS) signals in a hot strip mill environment.
Role type
Master thesis researcher (AI/ML for industrial process monitoring)
Builds
Prototype models for real-time grain size prediction and microstructure classification
Domain
Steel manufacturing / Materials science / Industrial AI
Deliverable
production ML models
Required skills
Machine learning, signal processing, Python, data analysis, time-series modeling
Preferred skills
Wave physics, ultrasonics, materials science
Technologies
Python, ML frameworks, LUS data
Responsibilities
Survey AI architectures for ultrasonic time-series data, pre-process high-resolution LUS datasets, develop and implement AI models, benchmark approaches for accuracy and real-time suitability
Seniority
Master thesis student
