Student Thesis: ML-based Self-learning Control for Spin Forming of Metastable Austenites
Fraunhofer-Gesellschaft · Paderborn
ThesisGerman needed: not said
Still open on 2 NovKey facts
- Pay
- Unpaid
- Subject you study
- Mechanical Engineering, Mechatronics, Electrical Engineering
What you'll do
- Literature research and familiarization with ML-based, self-learning control
- Development of a self-learning control for the spinning of metastable austenites
- Validation and analysis of the results, including comparison with the previous model-based control approach
What you need
- Currently studying mechanical engineering, mechatronics, electrical engineering or a comparable degree program at a university in the East Westphalia-Lippe region (e.g. Paderborn, Bielefeld, etc.)
- Knowledge of MATLAB or MATLAB/Simulink and willingness to deepen it
- Analytical thinking, structured and independent way of working and high proactivity
- Confident German or English skills, spoken and written, to communicate complex content clearly
What you get
- Exciting insights into current research projects of high social relevance in automation
- Interdisciplinary and committed team that values initiative and offers plenty of freedom to shape your work
- Flexible working hours so you can combine the work well with your studies
- Chance to bring in your own ideas and work at the interface of research and industry
- This position is unpaid