Master Thesis - Metrology in the digital age
Ihre Aufgaben
- Investigate whether anomaly detection algorithms can be used to detect the degradation and drift of thermal energy meters
- Analyze the huge dataset provided by Belimo sensors measuring thermal energy flows
- Identify patterns of potential anomalies through timeseries analysis
- Explore the applicability of Anomaly Detection Algorithms to the dataset at hand
- Adapt and apply these algorithms in a Big Data setup
Ihr Profil
- Data Science or equivalent background
- Ability to analyze Datasets through statistical means
- General knowledge of Machine Learning Techniques and Libraries
- First knowledge in Big Data tools such as Apache Spark, Apache Kafka, Trino or similar
- Knowledge of a general purpose programming language such as Python or Scala
Unser Angebot
The opportunity to work in an innovative environment with the latest technologies,An open and trusting corporate culture in which everyone, from interns to the CEO, is treated as equals with respect and appreciation
Belimo is an innovative publicly traded Swiss clean-tech company with over 2000 employees worldwide and numerous international subsidiaries and distribution companies. As global market leader in the development, production and sales of valves, actuators and sensors for controlling heating, ventilation and air-conditioning systems, we support our customers with innovative energy-optimised solutions.
Über die Firma
