Internship | Machine Learning for Sensor configuration

Implement a novel method by which a machine learning model solution uses a model of a physical asset to determine ideal sensor configurations.


Den Haag

Education type

university (wo)


Internship and graduation project

Hours a week

Fulltime – 40


Apply now


What will you be doing?

The Digital Twin is a popular topic because it has a strong value proposition to companies that have to permanently monitor and control their systems. Typically, these systems consist of many subsystems that often have to integrate continuously with other systems as well. Adaptivity, autonomy and access to data are key context aspects.

With Machine Learning, we can learn more about hidden variables and predict properties of physical systems better than using basic statistics alone. Relevant information in the temporal patterns that cannot be inferred directly from reported system states thus help yield a better accuracy and precision.

Your goal as an intern for writing your thesis, would be to implement a novel method by which a machine learning model solution uses a model of a physical asset to determine ideal sensor configurations. This configuration would include aspects like where sensors should be placed, the types of these sensors, resolution, acceptable noise and how much sensor data is relevant, to obtain some desired level of accuracy and precision.

What do we require of you?

Knowledge of Machine Learning and AI. And liking of combining modifying technologies to do things they were not necessarily intended to, to address relevant industry challenges will be helpful as well.

What can you expect of your work situation?

If you answered yes to the prerequisites and find the description compelling, then this internship at TNO is for you! We at the Monitoring and Control Services (MCS) department provide technology (e.g., a physical cluster) for your experiments, support to learn from us and share our knowledge and experience, and, of course, there is an internship compensation!

What can TNO offer you?

You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.

Has this vacancy sparked your interest?

Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.

Contact: Paolo Pileggi
Phone number: +31 (0)6-154 87209

Note that applications via email and third party applications are not taken into consideration.


Apply now



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