Internship: Measurement & Analysis
Start Date: September 2026
Duration: 6 months
Type: Internship (thesis possible)
Weekly Presence: 40h (minimum 32h)
Location: Drachten (4x per week)
Please note: you need to be officially enrolled at the university for the whole internship duration!
Internship: Measurement & Analysis
As an intern in Measurement & Analysis, 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 our measurement process while receiving mentorship and guidance.
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.
Monthly full-time allowance between € 500 - € 700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you will perform a part-time internship you will receive the allowance pro-rata.
Housing compensation, in case of relocating to the vicinity of the office, € 300,- net if location is in the vicinity of Amsterdam, € 255,- net for all other Philips locations. You need to provide a rental contract of the land lord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours. Travel compensation, if you are not eligible for a free public transport card; you will receive max. € 192,- net. Paid holidays per internship term.
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.
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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 commitment to diversity and inclusion here .
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