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SUSurTec Deutschland GmbH

Master’s thesis on AI and process optimization(m/w/x)

Zwingenberg
Full-timeInternshipOn-site
AI/ML

Developing concepts for real-time sensor data evaluation and deriving process/quality indicators for production. Enrolled master's student in engineering/informatics required; initial Python/R programming experience desirable. Flexible working hours, dedicated project focus.

Requirements

  • Enrolled master's student in mechanical engineering, chemical engineering, industrial engineering, or business informatics
  • Interest in digital transformation and data-driven processes
  • Knowledge of data analysis and statistical methods
  • Initial experience with programming (e.g., Python, R) and data visualization is desirable
  • Excellent German and English language skills, both written and spoken
  • Independent and structured way of working and strong analytical skills
  • Commitment and ability to work in a team

Tasks

  • Analyze existing production processes
  • Evaluate relevant process parameters
  • Develop concepts for real-time sensor data evaluation
  • Identify methods for deriving process indicators
  • Identify methods for deriving quality indicators
  • Support implementation of AI approaches for process monitoring
  • Document results and present recommendations

Education

  • Currently in higher education

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
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