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PhD on Data-Driven Maintenance Logistics 1.0 fte

PhD student on Data-Driven Maintenance Logistics within the Operations, Planning, Accounting and Control (OPAC) Group of the School of Industrial Engineering

11 maanden geleden


de Rondom, Eindhoven, Noord-Brabant
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur


The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are part of the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum and consortia of research projects.

The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on
  • Inventory control/Supply chain management
  • Design and control of manufacturing networks
  • Transportation management
  • Maintenance optimization and reliability engineering
  • Sustainable operations management

  • Research is generally quantitative in nature, while many of the researchers also engage in empirical research. All research is embedded in Beta, the KNAW-recognized research school for Operations Management & Logistics.

    PhD project

    The project aims to develop data-driven methods to predict the failure behavior of high-value assets (e.g., magnetic resonance imaging systems) for the purpose of taking predictive actions on maintenance planning and related resource allocation. The ultimate goal is to minimize the total cost of ownership while meeting system availability constraints of the assets. Study of the integrated performance of failure-prediction methods and maintenance-optimization models will be of particular interest. This PhD position is part of the European Union funded project 'DayTiMe: Digital Lifecycle Twins for Predictive Maintenance'. In the project, there will be close collaboration with the Department of Mathematics and Computer Science of TU Eindhoven and also with industrial partners including Philips (for both healthcare and consumer lifestyle systems).


    Tasks & Requirements

    The PhD candidate is expected to do scientific research in the domain described, write a PhD thesis and publish research results in scientific journals. The research is executed under the supervision of dr. Alp Akcay and prof.dr.ir Geert-Jan van Houtum. The candidate also participates in the PhD education program. A small part of the position involves teaching in courses offered by the group.

    Applicants for the PhD project should have completed (or be close to completion of) a Master's degree in operations management, industrial engineering, operations research, econometrics, statistics, computer science or a comparable domain with a solid background in quantitative research methods. Fluency in English is required.


    We offer
  • a challenging job in a dynamic and ambitious university;
  • an appointment as a PhD student for a period of 4 years with intended starting date of 1 November 2018; the gross salary is in the range of €2266 - €2897 per month (on a full-time basis); in addition, 8% holiday allowance and 8.3% end of year allowance;
  • a broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, savings schemes, coverage of costs of publishing the dissertation/scientific papers and excellent sports facilities).
  • Additionele informatie

    More information about this position and the research programs should be addressed to: dr. Alp Akcay, phone +31 40 247 2216, e-mail: a.e.akcay@tue.nl. Information about terms of employment can be obtained from the personnel office (pz.ieis@tue.nl), phone: +31 402475204. Further information about Eindhoven University of Technology can be found at www.tue.nl.

    Your application must contain the following documents (all in English):
  • Cover letter (1 page max), which includes a motivation of your interest in the vacancy and an explanation of why you are a good fit for the project;
  • An extensive curriculum vitae;
  • Course list of your graduate and bachelor programs (including grades);
  • Results of a recent English language test, or other evidence of your English language capabilities;
  • Results of a GRE/GMAT test if available;
  • Name and contact information of two references.

  • If you are interested, we invite you to apply as soon as possible. Applications will be reviewed on a rolling basis. You can apply by pressing the "apply now" button. Applications per email are not accepted. Please note that a maximum of 5 documents of 2 Mb each can be uploaded.