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Bachelor or Master Thesis: Machine Learning Applications in Intralogistics - Remote

Posted 21 weeks ago
Data Analysis
Internship
Germany

Overview

The goal of this thesis is to identify relevant machine learning applications in intralogistics and to categorize and evaluate them systematically.

In Short

  • Analyze ML applications in intralogistics
  • Create a grouping based on functionality and potential of the applications

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 working 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 working hours and independent work
  • A modern, collegial, and digital working 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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