Student assistant: Physics-based Machine Learning for Process Optimization in Machining Domain
Fraunhofer-Gesellschaft · Aachen, North Rhine-Westphalia, DE
At the Fraunhofer Institute for Production Technology IPT in Aachen, we are creating the production of the future with more than 450 employees – digital, sus...
Job description
At the Fraunhofer Institute for Production Technology IPT in Aachen, we are creating the production of the future with more than 450 employees – digital, sustainable and resilient. The »High-Performance Cutting« department develops technologies and application-oriented solutions for machining along the entire process chain - from process design to real-time data acquisition for generating a digital twin during production to consulting and prototype production. Be part of change: - Develop and implement machine learning algorithms to model and analyze dynamic phenomena in milling processes - Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches - Design and develop cloud-based microservices for industrial manufacturing applications What you contribute: - You are studying Mechanical Engineering, Computer Science, Mechatronics or a comparable subject - Solid background in programming (e.g., Python or C++) is essential - Experience with machining processes or ML approaches are advantageous - A high degree of motivation, initiative, independence - Good language skills in German and/or English What we offer: We value and promote the diversity of our employees' s...