SRH Berlin University of Applied Sciences
SRH Berlin University of Applied Sciences

WORKING STUDENT Artificial Intelligence in Renewable Energy Systems f/m/d

Berlin / 15 September 2022

The SRH Berlin University of Applied Sciences is a private, state-recognized and accredited university with locations in Berlin, Dresden and Hamburg. Six schools combine modern management and entrepreneurship, media and creative industries, technology and IT, music and sound design in modern German and English-language courses. At the SRH universities, students learn in a purposeful and independent manner according to the specially developed study concept CORE (Competence Oriented Research and Education). In compact scientifically and practice-based thematic units the students are qualified for professional life by activating teaching as well as competence-oriented exams. The SRH Berlin University of Applied Sciences is state recognized and accredited by the German Science Council.
We are part of SRH - a leading provider of education and healthcare services with 16,000 employees. The SRH operates private colleges, education centers, schools and hospitals.

International and exceptionally successful: In the middle of Berlin's dynamic environment, the Berlin School of Management / Technology offers German and English-language Bachelor's, Master's and MBA programs in the future-oriented fields of modern management and entrepreneurship, technology and IT. The school focuses on competence-oriented teaching with a high practical orientation, many projects, the teaching of soft skills as well as living internationality. Numerous partner universities and renowned business enterprises in Germany and around the world are part of the close-knit network.

To strengthen our team, we are looking for a "working student for artificial intelligence in renewable energy sysmtes" at the earliest possible date in the scope of 20 hours per week and within the scope of a temporary employment relationship.

We offer:

  • We expressly emphasize that all people - regardless of gender, nationality, ethnic and social background, religion/belief, disability, age and sexual orientation - are equally welcome.

Your Responsibilities:

  • Work in the task of Renewable energy system simulation
  • Calculating energy efficiency, system efficiency
  • Working with the data generated from RE systems
  • Analyzing the data with a different Machine Learning model
  • From time to time reporting to the supervisor regarding the result and discussion
  • Working with the Simulation model and understanding stabilization of voltage, frequency, and different parameters like power factor, THD (Total Harmonic distortion)
  • Helping supervisor during his Lecture on the installation of a PV system with Inverter

Your Profile:

  • Enrolled Student in M.Eng. Sustainable Technology, Computer Science or Renewable Energy
  • Advanced understanding of Programming language especially Python (Machine Learning)
  • Experience from previous study program in MATLAB Simulink design and simulation tool
  • Understanding the RDBMS (Example: MySQL, PostgreSQL
  • Knowledge in the field of Renewable Energy (Specially Photovoltaic system)

We offer you an exciting and varied field of activity with creative freedom in a young and creative team with flat hierarchies. Your future workplace is at the headquarters in Berlin, in the middle of the metropolis.

Your questions answered:

Prof. Dr. Michael Hartmann | Academic Director Berlin School of Technology | Phone number: +49 30 515650 829

Help shape the future of our entrepreneurial university, accompany our steady growth and continuously develop with us! We need committed comrades-in-arms with their impulses for the implementation of demanding teaching, service-oriented study conditions and innovative research projects.

Are you enthusiastic? We are too! If you want to get started and grow with us and our location, please apply online now, stating your earliest possible starting date. We look forward to receiving your application documents.

Apply Now

Any questions?


Aileen Thiel

Ernst-Reuter-Platz 10
10587 Berlin
Telefon: +49 (0) 30 51 56 50 626

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