Internship: Measurement & Analysis

Join Philips as an intern in Measurement & Analysis, where you will support the team in designing, implementing and validating an innovative measurement solution. You’ll collaborate with engineers across disciplines, gain hands-on experience with automated setups and Python processing, and help improve the quality and reliability of the measurement process while receiving mentorship and guidance.

Internship details

Start Date: September 2026

Duration: 6 months

Type: Internship (thesis possible)

Please note: you need to be officially enrolled at the university for the whole internship duration!

The Challenge

Our organization is investing in the future of process optimization. This internship is essential to achieving our ambition: to develop and validate a novel measurement method for our high-tech environment. You’ll be combining measurement science, Python-based analysis, and applied physics with automation and robotics.

Your role:

• Independently design and execute measurement tasks on machines, installations and processes
• Develop, implement, and improve a new measurement methodology tailored to our production/innovation environment
• Perform Gage Repeatability and Reproducibility (Gage R&R) studies to validate and assure measurement system reliability
• Analyse measurement data using Python programming; present clear and actionable reports
• Apply principles of materials science, free body diagrams, and FEM simulations to optimize measured outcomes
• Basic robotics for integrating measurement tools into automated systems
• Advise on and initiate process and quality improvement measures based on data findings

You’re the right fit if:

• You are currently pursuing a Bachelor or Master degree in Mechanical (Biomedical) Engineering, Applied Physics or related technical field
• You have a solid foundation in analytical problem solving, materials science, and process optimization
• You have some experience with Python programming for data analysis
• You have an ability to work independently as well as in multidiscipline teams
• You have a practical knowledge of relevant software packages (e.g., Python, MATLAB, CAD/FEM tools)
• You are proactive, accurate, and have result-oriented mindset with strong communication skills
• You are fluent in English (written and verbal)

Nice to have:

• Familiarity with Python libraries for data handling (e.g., NumPy, pandas, SciPy) and visualization (e.g., matplotlib, Plotly)
• Knowledge of sensor technology, data acquisition, and real-time measurement architectures
• Basic experience with simulation software (e.g., ANSYS, COMSOL, SolidWorks Simulation)
• Experience in gage R&R studies

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

About Philips

We are a health technology company.