Summer Semester 2027 – fixed term of 3–6 months
Develop intelligent features for the next generation of industrial identification devices with us. In addition to traditional barcode data, our customers increasingly need further information about objects, packaging and labels. With our Beyond Barcode initiative, we are expanding these applications with additional vision capabilities. Industrial camera systems are designed to detect relevant features beyond codes, including text, object types, hazardous goods labels and object counts.
Your Tasks:
- Contribute to innovative machine vision use cases in the field of identification
- Analyze real-world image data and select suitable methods from classical image processing and/or machine learning
- Develop and evaluate prototype vision features based on machine learning
- Conduct reproducible tests and measurements
- Evaluate performance, stability and integration options
- Document and present your findings and derive recommendations for product development
Your Profile:
- Degree studies in computer science, technical computer science, embedded systems, data science or a comparable technical field
- Ideally, experience with embedded or Linux systems, as well as OpenCV or machine learning frameworks
- Interest in industrial image processing and software development
- Basic knowledge of Python, C++ or comparable technologies
- Analytical, structured and independent working style
- Willingness to explore new approaches and evaluate them based on measurable results
- Good command of German or English
Sectors
Sectors
Summer Semester 2027 – fixed term of 3–6 months
Develop intelligent features for the next generation of industrial identification devices with us. In addition to traditional barcode data, our customers increasingly need further information about objects, packaging and labels. With our Beyond Barcode initiative, we are expanding these applications with additional vision capabilities. Industrial camera systems are designed to detect relevant features beyond codes, including text, object types, hazardous goods labels and object counts.
Your Tasks:
- Contribute to innovative machine vision use cases in the field of identification
- Analyze real-world image data and select suitable methods from classical image processing and/or machine learning
- Develop and evaluate prototype vision features based on machine learning
- Conduct reproducible tests and measurements
- Evaluate performance, stability and integration options
- Document and present your findings and derive recommendations for product development
Your Profile:
- Degree studies in computer science, technical computer science, embedded systems, data science or a comparable technical field
- Ideally, experience with embedded or Linux systems, as well as OpenCV or machine learning frameworks
- Interest in industrial image processing and software development
- Basic knowledge of Python, C++ or comparable technologies
- Analytical, structured and independent working style
- Willingness to explore new approaches and evaluate them based on measurable results
- Good command of German or English
