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WIWinterhalter

Master’s Thesis: Predictive Maintenance – Heating Elements(m/w/x)

Meckenbeuren
Full-timeOn-siteJunior
AI/ML
Data Science

You will drive innovation by developing an AI-based predictive maintenance model for commercial dishwashers, from selecting sensor technology to validating your own failure predictions.

Requirements

  • Enrollment in electrical engineering, mechatronics, mechanical engineering, computer science, or comparable master's program
  • Interest in data analysis and hands-on development
  • Basic knowledge of sensor system design and use
  • Initial experience in data analysis and machine learning (advantageous)
  • Ability to familiarize with new topics
  • Analytical thinking, independent work style, and communication skills
  • Knowledge in measurement and control technology or signal processing (desired)
  • Excellent English skills

Tasks

  • Design and write a master’s thesis on predictive maintenance
  • Develop a holistic AI-based condition monitoring approach
  • Analyze current predictive maintenance research and technology
  • Identify and evaluate suitable sensors and telemetry data
  • Process data and extract meaningful condition indicators
  • Develop a data-based analysis and prediction model
  • Conduct validation tests in labs or real conditions
  • Collaborate with a parallel master's project for synergies
  • Document results and provide practical implementation recommendations

Education

Currently in higher education

Languages

EnglishBusiness FluentGermanBusiness Fluent

Tools & Technologies

PythonC++
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