Computational Modeling Scientist

Join Philips as a Computational Modeling Scientist

Use your expertise to design, optimize, and accelerate the development of innovative healthcare solutions. Your physics-based insights and simulations will help shape medical and personal health devices, improving patient outcomes and enabling faster innovation.

About the Role

You will be part of the Computational Modeling team within Innovation & Design, supporting projects across all Philips businesses. Our work spans small therapeutic devices, large-scale imaging systems, and consumer health products. Projects can be short-term or long-term, and you will collaborate with multidisciplinary teams including engineers, product experts, and scientists.

Key Responsibilities

• Contribute to R&D projects through computational modeling, applied physics, and biomedical engineering.
• Translate simulation results into actionable design recommendations for real-world applications.
• Develop and apply innovative modeling techniques, including AI-based approaches.
• Work with cross-functional teams to deliver optimal designs and accelerate development cycles.
• Expand the team's modeling capabilities and remain at the forefront of technological developments.

Required Qualifications

• PhD in Applied Physics, Biomedical Engineering, Mechanical Engineering, or related field (MSc with 3–5 years relevant experience will also be considered).
• Proven expertise in at least two applied physics domains such as Transport Phenomena, Wave Propagation, Electromagnetics, Acoustics, or Plasma Physics.
• Strong background in physics-based modeling, computational modeling, and numerical methods.
• Experience with commercial tools (e.g., Star-CCM+, Ansys/Multiphysics, Comsol) and/or open source tools (e.g., OpenFoam, ElmerFEM).
• Fluency in English with excellent communication skills.

Preferred Qualifications

• Knowledge of biomedical sciences, physiology, and medical technology.
• 2-3 years of industrial experience in the relevant fields
• Programming skills in Java, C/C++, and/or proficiency in Python, Matlab, Mathematica.
• Familiarity with AI-enhanced modeling techniques.
• Innovative, creative thinker with a flexible and proactive mindset.

How we work together

We believe that we are better together than apart. This is an onsite role based at our High Tech Campus in Eindhoven, requiring at least three days per week in the office for collaboration, creativity, and innovation.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care.

Embrace the unexpected

Over 125 years ago, Frederik and Gerard Philips started a small light bulb company in Eindhoven. Little did they realize that it would become a global force of innovation, committed to improving billions of lives worldwide. But it did.

Today, Philips is a world leading health technology company with a vision to make life better for people worldwide through meaningful innovation. Making good on this promise depends on our passionate, inspirational, collaborative and diverse team.

We have over 80,000+ brilliant people around the world but are always looking for more. Like-minded, motivated, focused minds to join us in creating a healthier, more connected society while transforming themselves personally and professionally.

Working at Philips is more than a job. It's an experience filled with unexpected moments that will transform you in lasting and positive ways. Help us improve the world for the better while building a career that no one could have planned for. Even you.