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Philips is seeking a Computational Modeling Engineer to join the Innovation and Design community at the High Tech Campus in Eindhoven. You will advance computational and physics-based models to de-risk innovations and enable rapid R&D through simulation-driven prototyping.
The role emphasizes translating complex simulation results into actionable insights for design and engineering stakeholders, using tools like Marc‑Mentat, ANSYS, Abaqus, OpenFOAM, and Comsol.
Contract: Via Randstad
Duration: 1 year (Extension/Transition expected)
As a Computational Modeling Engineer, you will be part of the Innovation and Design community within Philips. Leveraging your background in either (bio)physics, mechanics, or computational modeling, you will contribute to the development of innovative medical device solutions across the health continuum. Your work will provide deep physical insight and predictive capability, enabling informed design decisions and accelerating R&D through advanced simulation and virtual prototyping. Computational (bio)physics plays a key role at Philips in de-risking innovation, reducing development time, and strengthening propositions through simulation-driven innovation grounded in physical mechanisms. In this role, you will apply state-of-the-art modeling techniques to real-world engineering challenges in healthcare.
You will join the Computational Modeling team, consisting of specialists with expertise in multiphysics, biophysics, solid mechanics and fluid dynamics. The team is based at the Philips High Tech Campus in Eindhoven and supports Philips businesses globally. We operate across the entire health continuum, providing deep physics insight, simulation‑driven innovation, and virtual prototyping capabilities to a wide range of Philips products.
We offer a challenging and intellectually stimulating environment within a leading health technology company. You will work alongside highly skilled experts, tackle complex and meaningful problems, and have strong opportunities for technical and personal development in an innovative, collaborative setting.
To be successful in this role, you bring a strong scientific background combined with a hands‑on interest in applying modeling to real‑world engineering challenges. You have:
If you find interesting to explore further, kindly apply before July 10,2026.
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