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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++
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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