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Master's Thesis: Use Cases of Machine Learning in Production - Remote

Posted 19 weeks ago
Data Analysis
Internship
Worldwide

Overview

This internship involves researching and identifying machine learning use cases in the production environment, along with conducting case studies and expert interviews.

In Short

  • Independent research of scientific texts and literature preparation
  • Identification of machine learning use cases in production
  • Conducting case studies and expert interviews
  • Description of use cases as use case diagrams

Requirements

  • Studying (Industrial) Engineering, (Business) Informatics, Business Administration or similar
  • Very good German and English skills, both written and spoken
  • Independent, committed, careful, and goal-oriented work style
  • Proficient in 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
  • Flexible scheduling and independent work opportunities
  • A modern, collegial, and digital work environment
  • Room for creativity and 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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