Descripción
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position As a PhD Candidate with us, you will help turn early railway fault detection into better maintenance decisions and more reliable operations. You will work in an applied research environment with railway-sector partners. Your immediate leader will be the Head of Department. About the project TrainGate uses trackside inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect and track defects in wheels, brakes, pantographs and other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent benefit-assessment tool for selected TrainGate cases. It will compare detection and intervention scenarios and support maintenance decisions, investment assessments and implementation, subject to available data and partner agreements. The project is funded by the Norwegian Railway Directorate. Duties of the position Complete the doctoral education, including at least 30 ECTS of coursework, and obtain a doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and participa