The Machine Materials Laboratory at the institute of Physics of the University of Amsterdam is looking for excellent, highly motivated postdoctoral research c…
PhD-student at Philips Medical Systems BV Netherlands
- Den Dolech, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
PhD position at Philips Medical Systems BV the Netherlands - Platform-aware Model-driven Optimization of Cyber-Physical Systems
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 ocps-itn.eu. In total 15 positions (ESRs) are available of which the current one in ESR5. See also www.tu-dortmund.de/cms/eu-buero/Medienpool/Ausschreibung-oCPS/oCPS_advert_PhDs .
Application area: Healthcare
Host: Philips Medical Systems bv, Netherlands
Supervisor: Dr. P. van Stralen - www.philips.com
Academic host: Eindhoven University of Technology, Netherlands
Academic supervisor: Prof. J. Lukkien - www.tue.nl/en/
1st secondment: Innovative Centre for Embedded Systems, Royal Institute of Technology, Sweden
2nd secondment: Fortiss GmbH, Germany
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.
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.
ArbeidsvoorwaardenConditions 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.
For more information about the project, please contact:
Johan Lukkien (TU/e, Fac. Mathematics & Computer Science), e-mail: firstname.lastname@example.org
Dip Goswami (TU/e, Fac. Electrical Engineering), e-mail: D.Goswami@tue.nl
Daan van der Munnik (Philips Healthcare), e-mail: email@example.com
Please apply by using the 'Apply now' button on top of this page.
Applications submitted by e-mail will not be considered.
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