Internship | Advanced data handling and analytic platform to keep up the high performance of electric vehicles

The ultimate goal is to create a digital twin for battery modules to support decision-making in operating and maintaining optimally electric vehicles.



Education type

university (wo)


Internship and graduation project

Hours a week

Fulltime – 40


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What will you be doing?

A secure cloud-based technology was built to allow flexible and scalable edge computing solutions to handle different complexity levels of the data set gathered from available IoT devices. This platform allows deploying advanced data analytic techniques for different applications including micro-grid energy management systems, building energy management systems, as well as electric vehicles fleet optimizations. One of the most important innovations in this project is to develop a digital twin interface for dedicated battery modules from TNO, taking into account the technological characteristics supported by advanced data analytics. This replica in a form of physical models will have a digital link in real-time with the in-service systems (e.g. electric vehicles) to continuously gather operational data.

Project description:
Within this project, a tailoring process will be conducted by the student to customize the existing platform to be suitable for the use-case of battery monitoring, diagnosing, and prognosing status and faults of electric vehicles. The ultimate goal is to create a digital twin for battery modules to support decision-making in operating and maintaining optimally electric vehicles. Specifically, using the operational data, the supported system should be able to estimate the remaining life time of the battery using Artificial Intelligent and/or machine learning techniques.

What do we require of you?

  • You have a bachelor’s degree in a relevant field, for example computer science, automotive engineering, systems and control, electrical engineering.
  • You are coursing a master in a relevant field, for example data science, automotive engineering, systems and control, electrical engineering
  • Knowledge in data mining and machine learning techniques
  • Knowledge in Python and Matlab
  • You enjoy developing innovative solutions to technically challenging problems and have the right mix of intellectual curiosity and pragmatism.

What can you expect of your work situation?

You will work together with a team of enthusiastic experts on a very relevant topic in the automotive industry. The results will be used in a large European project in which we collaborate with key partners in the automotive field, including several OEMs.

What can TNO offer you?

You want to work on the precursor of your career; an internship 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 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: Róbinson Medina Sánchez
Phone number: +31 (0)6-116 63551

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


Apply now



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