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Bachelor or Master Thesis: Design of Ergonomic Assistance Systems for Maintenance in the Power Grid - Remote

Posted 19 weeks ago
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Internship
Worldwide

Overview

Support us in an exciting research project for a sustainable power grid. The research project aims to develop an intelligent assistance system based on artificial intelligence (AI) that supports the operation and maintenance of the German distribution network.

In Short

  • Analyze the challenges of the distribution network and the needs of network operators and maintenance personnel.
  • Research existing assistance systems on the market.
  • Develop requirements for ergonomics at the workplace during maintenance of the power grid.
  • Create ergonomic operating concepts for digital assistance systems for network operators.

Requirements

  • You are studying (Industrial) Engineering, (Business) Informatics, Business Administration, or similar.
  • You should be able to independently communicate with relevant stakeholders.
  • You have very good German and English skills, both written and spoken.
  • You are characterized by an independent, committed, careful, and goal-oriented working style.
  • You are proficient in using common MS Office programs.

Benefits

  • Insights into the industry and research business in collaboration with renowned companies and research partners.
  • Interesting, challenging, and varied tasks in a qualified and dynamic team.
  • The possibility of flexible scheduling and independent work.
  • A modern, collegial, and digital working environment.
  • Room for creativity and your personal development.

Translated from German

FIR e. V. an der RWTH Aachen logo

FIR e. V. an der RWTH Aachen

FIR e. V. at RWTH Aachen is focused on the realization of Industry 4.0, emphasizing the technological foundation necessary for companies to thrive in this new industrial paradigm. The company highlights the importance of integrating various information and value creation technologies on the shop floor and office floor systems, such as ERP, to successfully implement Industry 4.0 initiatives. Prioritizing planned measures based on their benefits to the organization is a key aspect of their approach.

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