Master Thesis - Hybrid ML LLM-based Fault Detection and Explainability for Smart Building IoT Systems - Inklusiver Job
· Jülich, Düren (Kreis) ·
- Category
- AI engineering
A master's thesis student researches fault detection and explainability for smart building IoT systems: installing and configuring occupancy sensors (PIR sensors, PQI meters, infrared cameras), designing experiments, and analyzing hybrid ML/LLM-based occupancy estimation approaches. On-site in Jülich with paid thesis remuneration.
Place of Employment: Jülich Start Date: To the next possible date Salary: We will pay you a appropriate remunerationfor your thesis Application Deadline: The position will be published until it is successfully filled. Your Job Installation and configuration of available occupancy detection sensors (e.g. PIR sensors, PQI meters, infrared camera, etc.) Setup of suitable experimental plan for testing the occupancy estimation approaches Analysis of characteristics of the various approaches in terms…