Position for Student Assistant at IKV!
Join our Intelligent Production Systems group to develop data-driven models for predicting and controlling quality in injection molding.
About our Working Group:
The development, analysis and optimization of plastics processing is one of IKV’s core competencies. In recent years, the development of technologies for the digitalization and automation of the production environment of plastics processing companies has given rise to extensive and complex research issues. IKV focuses on the fusion of advanced algorithms, modeling and machine learning on the one hand and industry-oriented injection molding process engineering on the other in order to increase production efficiency for companies. In our working group, we investigate ways of predicting and controlling quality parameters in injection molding using data-driven models and algorithms.
Your Tasks:
- Implementation of automated data acquisition and analysis (e.g. process data, quality data)
- Support with data collection in the context of injection molding tests
- Data-driven modeling for quality monitoring and control in injection molding
- Support in the creation of presentations and reports
- The work areas can be adapted to suit your knowledge and preferences. Project, Bachelor’s or Master’s theses are also possible in the various areas.
Your Profile:
- Technical studies (e.g. CES, mechanical engineering, mechanical engineering, computer science)
- Previous knowledge of programming (e.g. Python, Matlab)
- Willingness to familiarize yourself with new topics
- Independent and conscientious way of working
- German and/or English language skills
We offer You:
- Collaboration on current and interesting research topics
- Varied and challenging activities
- Diverse, practical experience parallel to your studies
- Flexible working hours in a young team
If you are interested in supporting us in our practical research, I look forward to hearing from you! We would be happy to discuss details of possible tasks in a personal meeting.
