Student assistant: Machine learning and FEM simulation for Sheet Metal Forming

At the Fraunhofer IPT in Aachen, we work with more than 500 employees every day to make the production of the future more digital, more flexible and more sustainable. In the group »Integrated Production Machinery«, we specialize in optimizing manufacturing technologies for components used in energy conversion systems such as fuel cells and electrolyzers. With a focus on industrial applications, our expertise is concentrated on the fields of metallic bipolar plates for those applications. As a student research assistant, you will support our team in developing automation methodology, machine learning models and data driven FEM simulation models for sheet metal forming processes. The position requires regular on-site presence at our institute in Aachen. The weekly working hours are at least 10 and at most 17 hours.