Master thesis: Explore utilization of AI within Operational Excellence
Core
Explore the utilization of AI and data analytics to improve operational excellence, condition monitoring, quality control, and data-driven decision-making in industrial production environments.
Role type
Master's thesis researcher (AI & Operations)
Builds
Scalable condition monitoring concepts, AI application prototypes, and data-driven decision support tools.
Domain
Industrial manufacturing / Materials science / AI & Data Analytics
Deliverable
Research | product features
Required skills
Data modeling, SQL, machine learning, Python programming, statistics, experimental design, causal analysis
Preferred skills
Computer Vision, Deep Learning (CNNs, detection, segmentation), OpenCV, YOLO, Power BI
Technologies
Python, SQL, Power BI, OpenCV, YOLO, CNNs
Responsibilities
Map and prioritize AI applications in operations, design condition monitoring systems using sensor data, develop prototypes for automated quality inspection, analyze production data to support decision-making
Seniority
Master's student (Research/Thesis)
