We are Winterhalter, the warewashing specialist from Meckenbeuren. Every day, our employees work toward perfect cleaning results, explore new paths, set industry standards, and inspire customers.
You will design and write a master’s thesis on predictive maintenance for the electric heating elements of a commercial dishwasher.
The master's thesis should develop a holistic approach to AI-based condition monitoring of the heating elements – from suitable sensor technology and data acquisition to analysis and condition prediction.
You will analyze the current state of the art in predictive maintenance and condition monitoring for electric heating systems and derive relevant approaches for your work.
You will identify and evaluate suitable sensors and telemetry data for monitoring the condition of heating elements.
You will process and interpret the collected data, extract meaningful features, and develop condition indicators based on them.
You will develop a data-based analysis model that assesses the condition of the heating elements and predicts their remaining service life and failure probability.
You will independently conduct validation tests—either in the lab or under real operating conditions—and assess the accuracy of your predictions.
Collaboration with a parallel master's project is guaranteed in order to make optimal use of synergies in data structures, platforms, and methodological approaches.
You are enrolled in a master’s program in electrical engineering, mechatronics, mechanical engineering, computer science, or a comparable field.
You are interested in data analysis and hands-on development work.
Initial experience in data analysis and machine learning (e.g., Python, C++) is an advantage.
Your excellent English skills enable you to write your thesis in English.
Supervision can be provided in both - German and English.
Keyword: cafeteria.«
Even if you haven’t consciously noticed the name Winterhalter before, chances are we’ve already crossed paths—in a hotel on your last vacation, the restaurant around the corner, a trendy bar, a cafeteria, a canteen, or maybe even a football stadium.