Intern (f/m/d) Data-Mining & Machine learning in the context of decentralized energy systems

Job Description

Into work, get set, go!

Our interns have ideas, make things happen, and get involved – from the very first day. Be part of a team numbering more than 370,000 talented people who are dedicated to tacking the most important challenges. What will the world look like in 20 years in terms of electrification, automation, and digitalization? Let’s find out together! You might want to turn established thinking on its head in the search for solutions. When you join our team, we give you the freedom to do so. You will also have all the benefits of a company with an excellent international network. What are you waiting for? Shape your future with us.

Change the future with us.

  • As part of your internship, you will familiarize yourself with the modelling of decentralised energy systems (e.g. diesel generator, battery storage systems, PV systems, network topology) for model-based control systems

  • You will gain insights into the topics machine learning and data mining

  • In addition, you will develop and implement your own methods in the field signal processing and parameter/network topology identification, followed by validation based on measurement data

  • The execution of statistical investigations as well as the evaluation and documentation of the experiments round off your internship experience

We don’t need superheroes, just super minds.

  • You are currently studying electrical engineering, technical cybernetics, control engineering, mechatronics, computer science, mathematics, process engineering or equivalent at one of the German Universities and have very good grades

  • You are highly interested in the energy sector and the transformation of the energy system

  • Ideally you have knowledge of signal processing, statistics, machine learning and modelling and have already gained experience with Python or Matlab/Simuljnk

  • You have already completed your basic studies or have at least 120 credits points

  • The duration of internship (at least 3 months) is based on the study regulations of your university (please include the duration of your mandatory internship in your application)

  • Since we work in an international environment, you have very good English skills, German language skills would be an asset

We encourage you to use this subject matter towards your BSc or MSc thesis. The duration of this internship is based on the study regulations of your university.

Make your mark in our exciting world at Siemens.

    if you wish to find out more about the specific business before applying. If you have more questions, please contact:
    if you would like to find out more about jobs & careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

Job ID: 191853

Organization: Corporate Technology

Company: Siemens AG

Experience Level: Student (Not Yet Graduated)

Job Type: Full-time

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