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Computational Modeling Engineer

Koninklijke Philips N.V.

Computational (bio)physics plays a vital role in de-risking innovation, accelerating R&D timelines, and strengthening product propositions through simulation-driven insights. Working as an internal consultant for global business units, you will translate real-world medical and engineering challenges into advanced physics-based modeling strategies, enabling informed design decisions through virtual prototyping.

Key Responsibilities:

  • Lead and support R&D projects using advanced computational modeling, numerical techniques, and simulation tools.
  • Develop, validate, and apply physics-based models to guide product optimization, structural performance, and decision-making.
  • Co-develop and elevate the computational (bio)physics knowledge and capabilities within the global team.
  • Stay at the forefront of emerging modeling methodologies, simulation software, and numerical techniques.
  • Partner with cross-functional teams in image-guided therapy, precision diagnostics, patient monitoring, and personal care to turn application needs into actionable simulation roadmaps.
  • Translate complex simulation outputs into clear, actionable technical insights for engineering stakeholders and R&D leaders.

Functie-eisen

Education: PhD in Mechanical Engineering, Applied Physics, Biophysics, or a closely related technical field with a primary focus on computational modeling and simulation. (Master’s degree with strong relevant industry experience may be considered).

Technical Expertise: Deep foundational knowledge in physics-based and mechanistic modeling, particularly in solid mechanics, dynamics, or multiphysics.

Software Tools: Proven, hands-on experience with commercial or open-source finite element and simulation software (e.g., Abaqus, ANSYS, COMSOL, Marc-Mentat, OpenFOAM).

Communication: Ability to translate abstract, highly technical simulation data into clear design recommendations for non-simulation engineering teams.

Location: Based in or willing to relocate to the Eindhoven region, Netherlands (High Tech Campus).

Competenties

Analytical & Innovative Mindset: A strong scientific curiosity to explore novel modeling methodologies and apply them to complex healthcare problems.

Proactive Ownership: High degree of initiative, flexibility, and drive to take full ownership of challenging technical problems.

Stakeholder Collaboration: Excellent communication skills with the ability to bridge the gap between pure physics research and practical engineering applications.

Adaptability: Comfortable working in a fast-paced environment across diverse product categories—from personal health devices to complex hospital equipment.

Inclusiviteit en diversiteit

Uiteraard staat deze vacature open voor iedereen die zich hierin herkent. We geloven dat diverse teams van belang zijn voor ons als lerende organisatie, die voorop wil blijven lopen in de wereld van werk. Want juist verschillen tussen mensen zorgen voor groei. Van collega's, klanten, kandidaten en daarmee van Randstad Professional. Heb jij een uniek talent? We ontmoeten je graag.

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