This PhD project is part of the European ERJU (Europe’s Rail Joint Undertaking) project IAM4RAIL. The goal of the overall project is to develop novel methods for asset management of railway infrastructure.
The aim of this PhD project is to develop novel prediction and decision making methods for maintenance of railway tracks. A first step involves the development of improved methods for prediction of track condition based on multi-sensing (i.e., integration and fusion of heterogeneous data from various sources). We will in particular focus on track geometry and condition prediction using a combination of model-based and data-driven approaches. A next step involves the identification of the needs for maintenance of the railway infrastructure based on the predictions, measurements, and data analysis. The third part of the PhD project involves the development of optimization-based and/or AI-based methods for planning and scheduling of maintenance operations taking into account operational costs, risks, and the need to minimize disruption to railway traffic.
This PhD project is done in close cooperation with the Section of Railway Engineering of Delft University of Technology.
What are we looking for?
We are looking for a candidate with an MSc degree in systems and control, applied mathematics, computer science, electrical engineering, or a related field, and with a strong background or interest in systems & control, machine learning, and railway infrastructure. The candidate is expected to work on the boundary of several research domains. A good command of the English language is required.
What do we offer?
We offer the opportunity to do scientifically challenging research in a multi-disciplinary research group. The appointment will be for up to 4 years. The PhD student will also be able to participate in the research schools DISC (http://www.disc.tudelft.nl) and TRAIL (http://www.disc.tudelft.nl). As an employee of the university you will receive a competitive salary, as well as excellent secondary benefits. Assistance with accommodation can be arranged.
More information on this position and on how to apply can be found here (click to follow link).
