Internship

Research into the sustainable reuse of industrial automation systems and components. The aim is to develop a methodology for assessment, reuse, and redeployment, resulting in extended lifespan and reduced environmental impact.

• HBO or university level.
• Affinity with mechatronic systems or industrial automation.
• Interest in sustainability and circular economy.
• Basic programming experience (e.g. Python or C#).
• Interested in data analysis or condition monitoring.
• Prerequisite: knowledge of sensors, robotics, or drive technology.

• Analyzing existing automation systems and components (such as robots, actuators, and transport systems).
• Mapping out possible forms of reuse and strategies such as direct reuse, refurbishment, and remanufacturing.
• Developing a methodology to determine the reusability of components, including criteria and measurement methods.
• Investigate what wear occurs and how it can be measured, and what sensors and data are needed for condition monitoring.
• Assessing which data is already available within systems and how it can be utilized for condition monitoring.
• Setting up test and validation procedures for returned systems or components, including test runs upon intake and comparison of initial performance with the current state.
• Making estimates of remaining lifespan and reliability of components.
• Drafting a case study or demonstration and practical guidelines for the application of the developed methodology.

Duration of the internship: less than 6 months.

Develops smart and flexible production solutions that help companies improve processes and make them future-proof. Specializes in visual inspection and assembly, with applications in consumer products, high-tech systems, and healthcare. Combines generic building blocks with client-specific customization to realize efficient and reliable solutions. Works pragmatically and closely with clients to achieve quick results and make an impact on the shop floor.