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Master’s Thesis: Predictive Maintenance – Heating Elements(m/w/x)
Developing holistic AI-based condition monitoring for commercial kitchen heating elements at technology leader with 2,000+ employees. Master's program enrollment in engineering or computer science, with basic sensor system design knowledge, required. Real-world application for thesis project, academic supervision provided.
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
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- C++
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Master’s Thesis: Predictive Maintenance – Heating Elements(m/w/x)
Developing holistic AI-based condition monitoring for commercial kitchen heating elements at technology leader with 2,000+ employees. Master's program enrollment in engineering or computer science, with basic sensor system design knowledge, required. Real-world application for thesis project, academic supervision provided.
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
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- C++
About the Company
Winterhalter
Industry
Manufacturing
Description
Winterhalter ist ein Spülspezialist mit über 2.000 Mitarbeitern und gehört zu den Marktführern der Großküchentechnik.
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