About SYSTEMA
SYSTEMA is a medium-sized company that looks to the future and values long-term relationships with both its clients and employees. We would like you to be part of a company that is continuously shaping the future of manufacturing in semiconductor, photovoltaics, electronics, automotive, medical devices, and aerospace. Join in on setting standards in reliability and innovation. Let’s practice the Art of Automation together.
The reliable detection of transitions between appliance states in multivariate sensor signals is fundamental to the adoption of Machine Learning methods in industrial IoT. As state transition detection allows a discretization of appliance states, it precedes downstream categorization and integration. Thus, the detection of these transition events is key towards improved manufacturing decision intelligence solutions.
During this internship, the student will assess and extract a suitable set of event detection methods to cover typical sensor readings in iIoT. Next, she will implement these methods within a real-time streaming architecture. Along with that, requirements for a user interface approach to select appropriate methods in a semi supervised way shall be addressed.
Technologies: SQL, timescaledb, R, python, azure.