Doktorand (m/w/d) - Industriepromotion im Bereich Data-Driven Maintenance
Core
Developing intelligent maintenance models using Machine Learning to analyze, fuse, and predict failures from ship system sensor data, integrating these models into the central Digital-Ship framework.
Role type
PhD researcher (Industry Promotion) in Data-Driven Maintenance
Builds
Production ML models for predictive maintenance and user-oriented dashboards for maintenance teams
Domain
Maritime engineering / Naval shipbuilding / Predictive maintenance
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, System architectures, Data fusion, Signal processing
Preferred skills
Scientific research experience, Knowledge of system dependencies
Technologies
Machine Learning algorithms, Digital-Ship framework
Responsibilities
Implement ML algorithms for sensor data analysis, Integrate AI models into the central framework, Prepare and preprocess heterogeneous sensor data, Build research partnerships and supervise students
Seniority
PhD candidate / Researcher
