Internship: Anomaly Detection for Smart Maintenance
Core
Developing and improving ML-based anomaly detection models to predict equipment failures in maritime vessels using sensor data.
Role type
Research intern (Data Science / Predictive Maintenance)
Builds
Anomaly detection algorithms and health trending indicators for shipboard machinery
Domain
Maritime industry / Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
Python, Statistics, Machine Learning (LSTMs), Time-series analysis
Preferred skills
Mechanical/Electrical engineering background, Domain knowledge of ship systems, Experience with messy operational data
Technologies
Python, LSTMs
Responsibilities
Preprocess and analyze sensor/time-series data from onboard systems, Run experiments evaluating model performance, Support development of ML-based anomaly detection models, Document results and present findings to the team
Seniority
Intern