1 PhD position in the MANTIS project in Netherlands | Eindhoven University of Technology (TU/e)

SAN performs research in the area of resource management and machine learning in real-time and distributed systems. This research addresses the architecture and design of these systems as well as algorithms for management of shared resources and for adapting to resource and system failures. The SAN group has been very successful in executing its research in the context of national or international projects with industrial partners.

This project explores predictive maintenance in the contexts of factory automation and servicing of health care scanning equipment. It focuses on applying machine learning techniques to identify patterns in the sensor data corresponding to component failures for predicting system failures.

Project description

This project is part of the European Union (EU) funded project 'Cyber Physical System based Proactive Collaborative Maintenance (MANTIS)'.

Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in are monitored continuously by a broad and diverse range of sensors, resulting in massive amounts of data that characterize the usage history, operational condition, location, movement and other physical properties of those systems. The goal of the MANTIS project is to develop a proactive maintenance service platform architecture based on Cyber Physical Systems that will leverage the vast amounts of collected sensor data to estimate future system performance, to predict and prevent imminent failures, and to optimize maintenance.

Our focus in this project is on exploring data-driven methods for root cause failure analysis, remaining useful life identification of wearing components, and failure prediction on component and system level. In this project, we cooperate with Philips Consumer Lifestyle and Philips Health Care, who provide industrial use cases in factory automation and servicing of health care scanning equipment, which will support our research and validate our research results.

Requirements

Talented, enthusiastic candidates with excellent analytical and communication skills holding a university degree (MSc) in Computer Science, Applied Mathematics, or Operations Research are encouraged to apply. A strong interest in data driven applications is required. Experience in machine learning, data mining, process mining, optimization, or statistics are of benefit.

Our offer

• A full time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
• A gross salary of € 2125 per month in the first year increasing up to € 2717 in the fourth year;
• Support for your personal development and career planning including courses, summer schools, conference visits etc.;
• A broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare and excellent sports facilities).