Knowledge of sensor technology, data acquisition, and real-time measurement architectures

Internship Measurement & Analysis - ICDrachten

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.

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.

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

A background in Mechanical (Biomedical) Engineering, Applied physics or related technical field

Solid foundation in analytical problem solving, materials science, and process optimization

Some experience with Python programming for data analysis

Ability to work independently as well as in multidiscipline teams

Practical knowledge of relevant software packages (e.g., Python, MATLAB, CAD/FEM tools)

Proactive, accurate, and result-oriented mindset with strong communication skills

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)

To apply or request more information, please contact:

Measurement & process engineer (Machining, Measuring and Materials)

Grooming and Beauty, Personal Health, Royal Philips, Drachten

Stuur een e-mail naar Timo van der Meulen

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