Internship | Pattern/Correlation Recognition among Time-series Signals, an Application to City Buses

The goal of this internship is to recognize (if any) the patterns and correlations among multiples time-series signals. The recognized patterns can be used for the energy management system of the city bus whose operating modes should be chosen optima



Education type

university (wo)


Internship and graduation project

Hours a week

Fulltime – 40


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What will you be doing?

Within this internship assignment period, you will develop a tool (in Python or Matlab) to detect patterns and correlations (if any) among time-series signals. Your tool will be applied to detect the correlations between the speed, battery State of Charge and operating mode profile of a city bus. The developed tool should be re-usable for different time-series signals and scalable for increased number of signals.

Assignment tasks:
Literature survey and knowledge development:

  • Familiarise yourself with the data and the ultimate goal of the assignment
  • Literature survey on existing methods for pattern recognition among time-series signals.
Tool development:
  • Based on your literature survey, you will develop the tool using existing methodologies or your own novel method in Python or Matlab
Application of the develop tool:
  • Use the tool to detect patterns/correlations among specified time-series signals of the city bus
If time allows for it:
  • Create a supporting GUI (in Python or Matlab) for the developed tool

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 techniques
  • Knowledge in Python and/or 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.

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: Róbinson Medina Sánchez
Phone number: +31 (0)6-116 63551

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


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