Offer 141 out of 250 from 06/06/24, 08:50


Dow Olefinverbund GmbH

Dow (NYSE: DOW) verbindet integrierte Produktionsanlagen, globale Reichweite, fokussierte Innovation und materialwissenschaftliche Expertise mit einer starken Marktposition und führenden ESG-Performance, um profitables Wachstum und eine nachhaltige Zukunft zu sichern.
Das Unternehmen strebt danach, das innovativste, kundenorientierteste, inklusivste und nachhaltigste Material-Science-Unternehmen zu werden. Dows Portfolio aus Kunststoffen, industriellen Zwischenprodukten, Beschichtungen und Silikonen bietet Kunden in wachstumsstarken Branchen wie Verpackung, Infrastruktur, Mobilität und Konsumgütern ein breites Spektrum an differenzierten, wissenschaftsbasierten Produkten und Lösungen.
Dow betreibt 104 Produktionsstandorte in 31 Ländern und beschäftigt rund 35.700 Mitarbeiterinnen und Mitarbeiter weltweit. Das Unternehmen erzielte 2021 einen Umsatz von rund 55 Milliarden USD.
Referenzen zu „Dow“ oder dem „Unternehmen“ beziehen sich auf Dow Inc. und seine Tochtergesellschaften. Weitere Informationen finden Sie auf oder folgen Sie uns auf Twitter: @Dow_de.

Internship / Thesis - Power Grid Data Automation

Working field:

We are looking for you, an ambitious bachelor / master’s student, to support our Energy & Environmental Operations by doing an internship project / thesis in Electrical Power Consumption Data Exchange with public grid supplier for our location in Schkopau, Germany.

Dow is offering great career opportunities in a global and international environment.
The department that will welcome you is the site infrastructure supplying energy, technical gases, and quality water to the consumers on site, running grids and pipe racks as well as a large variety of different facilities to provide all the required services.

Project description:

Based on the Technical Guideline SO Gl of the transmission system operators, a data exchange between the grid operator DOW/INetzG and 50hertz is required.

The content of this data exchange is medium and short-term schedule data on the power consumption of the INetzG grid. This schedule data is based on power values of certain selected consumers/plants at the Schkopau site. The process of data input, acquisition and transmission must be developed. Furthermore, the relevant interfaces and responsibilities of those involved partners must be recorded. The aim of this master thesis is to develop the optimum solution for Dow to ensure a largely automated system is to be implemented based on a comparison of variants.


  • Understand and evaluate current market communication setup at Dow Schkopau site
  • Perform market and technology study on required state of art communication technologies with 50hertz
  • Develop scalable optimal load forecasting solutions and improvement options based on different requirements and cases


  • You are currently studying for a bachelor's / master’s degree or equivalent in process automation engineering, electrical engineering, information engineering or related courses of study
  • You have a good working knowledge of English and German
  • Solid understanding of processes
  • Sound knowledge in data collection technology, including data mining and evaluation
  • Strong teamwork capabilities and communication skills
  • Proven ability to work independently
  • Structured approach to handling multiple work contexts

How to apply:

Apply online and submit your CV, study enrolment certificate and current grade overview/transcript of records via this link: