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.
In such systems, there is much opportunity for Machine Learning models to offer predictive support. However, trustworthiness in the models are of utmost important. Explainable models are needed to not only know what the expected outcome is, but why such an outcome is predicted by the model. Conveniently, data sources are known, and data is available, together with a priori expert knowledge of processes. Linking an expert model that is often incomplete or may become incorrect over time, to a Machine Learning model is a big challenge.
Your goal as an intern for writing your thesis, would be to design a novel methodology by which to link data to Machine Learning models and to demonstrate this by way of an implementation. We challenge you to explore, use and overcome the state of the art methods and technologies with us. You will deliver a prototype demonstrating how to link data to Machine Learning models for explanability.
What do we require of you?
Knowledge of state-machine and process mining, 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.
Note that applications via email and third party applications are not taken into consideration.
Contact: Paolo Pileggi
Phone number: +31 (0)6-154 87209