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Philips Scientist Computational Modeling - Multiphysics Domain 
Netherlands, North Brabant 
274439350

24.06.2024
Scientist Computational Modeling - Multiphysics Domain
Job Description
Job Posting Description

As a computational modeling expert, you will support Philips businesses in the development of their solutions, by providing (physics based) insights in the performance of new designs, guidance towards the optimal design, and acceleration of the development process based on your large experience in virtual prototyping.

You will be a part of the Computational Modeling & Data Management team that spearheads a computational modeling team, supporting the 18 Philips businesses. You will work in projects that focus on a variety of medical and personal health devices, such as small medical therapeutic devices, large-scale imaging systems, and personal health devices. You need to work in multi-disciplinary teams including product experts from the businesses. Projects range from short term (weeks) to longer term (years).

Your role:

  • Actively participating and cooperating in multidisciplinary industrial research & development projects.
  • Responsible to deliver excellent results within the requirements of the business: actionable insights, on time and with high quality.
  • Keeping up with new developments in computational multiphysics.
  • Getting sufficient understanding of the ins and outs of the relevant business applications for your projects.

You are a right fit if:

  • PhD degree in Mechanical Engineering, Applied Physics or Biomedical Engineering with a topic in the field of computational multiphysics.
  • Preferably at least 2 years of industrial experience in computational modeling, with a focus on creating thorough multiphysics insights.
  • A flexible attitude and the ability to take initiative.
  • Willing to participate in short-term as well as longer-term assignments.
  • Team player and good personal skills, combined with a critical mindset.
  • Expertise in StarCCM+, Ansys Fluent or Comsol is advantageous

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