Professional Doctorate (PDEng) position on predictive maintenance at Eindhoven University of Technology

Eindhoven University of Technology is seeking a highly creative and motivated Professional Doctorate candidate to tackle new challenges in predictive maintenance in collaboration with the TU/e Data Mining group and Strukton Worksphere. Strukton Worksphere is a technical service provider who is responsible for maintaining and operating many large offices, hospitals, datacenters and other types of buildings in the Netherlands. For proper and efficient operations, Strukton collects and uses a lot of data of buildings, energy consumption, equipments data, realtime measurements and data of the provided maintenance services. For Strukton Worksphere, 'predictive maintenance' is one of the focus points and we believe that based on our data, intelligent model predictions can be used to predict failures or maintenance actions in the near future.

Your challenge is to:
Design models for failure prediction on HVAC (Heating, Ventilation and Air-conditioning) equipment for predictive maintenance;
Define a general methodology for predictive maintenance in the workfield of Strukton Worksphere. The workfield of Strukton Worksphere is characterised by a high variety of techniques, OEMers (manufacturers), surroundings, and low frequency SCADA data (Supervisory control and data acquisition);
Contribute to design and implementation of a scalable architecture for the methodology;
Collaborate with a team of specialists from Strukton Worksphere to bring the methodology into practice.

Further details:
Professional Doctorate (PDEng) position on predictive maintenance at Eindhoven University of Technology