Internship: Measurement & Analysis

Job Title Internship: Measurement & Analysis

Job Description

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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