Master thesis - Data analysis and Machine learning
Munters(1 month ago)
About this role
A thesis project at Munters to develop a data-driven predictive maintenance proof-of-concept for industrial dehumidifiers. The work uses existing sensor and controller data to analyze signals and degradation patterns and to build and evaluate an ML/anomaly-detection model for a critical component. Deliverables include prototype code, quantitative evaluation, a written thesis, and recommendations for scaling to a full predictive maintenance solution.
Required Skills
- Data Analysis
- Statistics
- Machine Learning
- Python
- Exploratory Analysis
- Feature Engineering
- Anomaly Detection
- Model Evaluation
- Programming
About Munters
munters.comMunters is a global leader in delivering climate control and air treatment solutions to nearly 50 industries, including pharma, data centers, and agriculture.
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