Research Engineer in AI-driven predictive maintenance for buildings

Job description

The Department of Decision and Control Systems is looking for up to two research engineers with a strong background in machine learning and LLMs, computer science, and modeling.

The candidate will join the project . The project will be carried out in collaboration with Assistant Professor Angela Fontan (KTH/EECS) and Associate Professor Kjartan Gudmundsson (KTH/ABE), with the support and contributions from EM through discussions, workshops, and project updates.

The project is inspired by Einar Mattsson's goal of utilizing AI to optimize maintenance planning in existing buildings, using historical and real-time data to identify the ideal timing and scope for renovations or changes in materials; this initiative aims to reduce costs while promoting the sustainability of the built environment and supporting comfort for building users. The goal of the project is to identify the key drivers of building maintenance costs and develop accurate ...