Working Student - Machine Learning for Engineering Applications (all genders)

Job description

At the Fraunhofer Institute for Integrated Systems and Device Technology IISB, our more than 500 employees are turning grand visions into reality. Energy conversion with virtually no energy loss or effort, more powerful semiconductor devices (micro- and macroelectronics) – we work together with industry in an application-oriented manner and conduct research in publicly funded projects. Whether it's e-mobility, aerospace, or sustainable energy supply: excellent teams are working here to shape the future. The »AI-supported simulation« team combines physics-based simulation approaches with efficient and advanced mathematical algorithms and AI frameworks for modeling and optimizing power electronic components and systems. To support our team, we are looking for a working student (all genders) in the field of machine learning for engineering applications to start as soon as possible. Be part of change: - Developing and benchmarking Neural Network architectures (Graph Neural Networks, Transformers, etc.) for engineering applications - Designing Reinforcement Learning pipelines (environment and algorithm) for power electronics applications - Improving existing Machine Learning and Reinfor...