PhD-student at Philips Medical Systems BV Netherlands (V32.2900)

PhD-student at Philips Medical Systems BV Netherlands

PhD position at Philips Medical Systems BV the Netherlands - Platform-aware Model-driven Optimization of Cyber-Physical Systems
Department of Mathematics & Computer Science
Date off
Reference number

Job description

Job description

PhD position in Horizon 2020 Marie Curie European Training Network oCPS - Platform-aware Model-driven Optimization of Cyber-Physical Systems. (ESR5) Model-based Management of Evolvable Execution Architectures.

This position is part of the ITN project oCPS, see In total 15 positions (ESRs) are available of which the current one in ESR5. See also .

Application area: Healthcare

Host: Philips Medical Systems bv, Netherlands

Supervisor: Dr. P. van Stralen -

Academic host: Eindhoven University of Technology, Netherlands

Academic supervisor: Prof. J. Lukkien -

1st secondment: Innovative Centre for Embedded Systems, Royal Institute of Technology, Sweden

2nd secondment: Fortiss GmbH, Germany


Project description

Philips Medical Systems is one of the major players in the market of X-Ray systems, with the Allura interventional X-Ray (iXR) system as a flagship. The physical appearance of the Allura includes heavy machinery in order to position and move the XR beam; the entire system is under control of software. The engineering of this system is a complex task considering the high demands on safety and security, and its general safety-critical operation in an operation room filled with people.

The algorithms of the Allura are, due to demanding real-time requirements, highly sensitive to the underlying computing architecture. When new, innovative algorithms are applied, the computing footprint requirements of the software may increase. During the lifetime of a machine, which comprises easily two decades, upgrades in both hardware and software are required. The need for increased computing power on the one hand, and the need for backwards compatibility on the other makes a challenging demand on the underlying software architecture.



Due to technology improvements, changes in the hardware platform are common, ranging from minor changes in the make and speeds of components to entire changes in technology. The existing software needs to be reliably mapped onto this new hardware without extensive modification. To that end, the dependencies of the software on changes in the hardware platform must be understood. In addition, scenarios of changes must be investigated without actually performing the change in order to assess the suitability, which is not common now.

Novel contributions

This ESR will develop parameterized models describing hardware dependencies and performance characteristics of software to an extent that performance is predicted sufficiently accurately. This may also lead to guidelines regarding the architecture for heterogeneous technology and application domains. Techniques will be developed to derive the model of a subsystem by studying its behavior at the interface. Using these interaction models, performance can be managed and predicted in view of changes in the execution architecture.

Job requirements

Job Requirements

  • We are looking for highly motivated candidates with good English proficiency. Candidates need to have obtained a relevant master degree (Informatics or Computer Sciences - ideally with focus on Embedded Systems or Cyber Physical Systems) with excellent grades;
  • The candidates can be of any nationality and are required to undertake transnational mobility according to Marie Sk³odowska-Curie mobility conditions. That is, the candidates must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the last 3 years.
  • Travel will be required up to 10% of the time.

Conditions of employment

Conditions of Employment

The selected candidate will be employed by Philips via full employment contracts with the respective organization, carrying social benefits such as pension and social security, but also subject to normal taxes.

Information and application


For more information about the project, please contact:

Johan Lukkien (TU/e, Fac. Mathematics & Computer Science), e-mail:

Dip Goswami (TU/e, Fac. Electrical Engineering), e-mail:

Daan van der Munnik (Philips Healthcare), e-mail:


  • Concise applications including letter of motivation, CV, copy of relevant certificates and names and contact details of two referees
  • The deadline for application is 30 April 2017;
  • Candidates will be selected based on (a) graduation mark and proficiency at university including consideration of the reputation of the university (b) relevant experience and skills (c) writing skills and publications (d) work experience (phase I) as well as performance in relevant modeling exercises and interviews (phase II);
  • Applications from women, who are currently under-represented in this area, will be particularly welcome. If male and female candidates have the same qualifications, preference will be given to female candidates.

Please apply by using the 'Apply now' button on top of this page.

Applications submitted by e-mail will not be considered.