Research Assistant in the Field of Data-Driven Methods in Machining Technology

The Fraunhofer Society is one of the world's leading organisations for application-oriented research. 75 institutes develop groundbreaking technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT. You know, who comes to Fraunhofer wants and can change something. For yourself, for us and the markets of today and tomorrow. As a leading institute for resource-efficient production within the Fraunhofer-Gesellschaft, the Fraunhofer Institute for Machine Tools and Forming Technology is IWU Engine for innovations in the field of production engineering research and development, especially in automotive and mechanical engineering. For more than 20 years, we have been developing efficiency technologies and intelligent production plants for the production of complex components and optimizing the associated re-forming and cutting production processes. Since 2006, Fraunhofer IWU has been located at the Dresden site in close proximity to the Technical University. The Institute of the Research Centre “Cognitive Production Systems” in Pforzheimer Straße includes a ca. 850 m2 of technology for research in the fields of robotics, digital production twinning, digitalization and networking and cognitive production. Do you want to help implement new developments of artificial intelligence methods in the field of machining technology and data-based process analysis? Then come to our team! For our Working Group on Digital Process Chains and Data Analysis, we are now looking for a scientific assistant. Thematically, you work on data-driven models in machining technology with approaches from machine learning and integration of real-time process data. As part of research projects and in direct cooperation with our industrial partners, you make ideas a reality.

Research and development work in the field of modelling and simulation in machining technology Experimental process analysis and design including the design and design of test setups, tools and the selection and implementation of suitable measurement technology Planning, implementation, evaluation and interpretation of experimental series Acquisition, management and processing of research and development projects Creation of machine learning models (incl. generic models) for process modeling in the area of machining technology with focus on tool wear Documentation of research results in the form of interim and final reports Presentation of research results at project meetings, trade fairs, specialist conferences and scientific journals Engaged further development of the research field and contact care to existing and new customers and partners

completed academic studies (Master or University Diploma) of the disciplines Mechanical Engineering, Materials Engineering, Mechatronics, Applied Mathematics or a related field of study Knowledge in the fields of machining technology and artificial intelligence Experience in software development is advantageous, but no compelling requirement ideally first experience in the scientific project business open and curious personality with rapid understanding and independent working and analytical skills Communication strength and joy in interdisciplinary teamwork and creative solutions very good knowledge of German and good English in word and writing Ready for one-day and occasional multi-day missions

a varied and demanding activity at top scientific level with free space for implementing own ideas and insight into exciting research projects Close to practice through interesting and varied project work in innovative and dynamic teams Possibility to exchange with colleagues within the Institute and the Fraunhofer Society Free space and responsibility Possibility to Doctorate (“Promotion with Fraunhofer” at a University) Possibility of spin-off state-of-the-art technical equipment and an international working environment personal development opportunities through a wide range of training measures and individually tailored personnel development (e.g. internal and external training, measures to promote women in research, potential managers or particularly motivated employees) Supporting the work-life balance through flexible working hours, part-time models and the possibility of mobile work Support offers for the reconciliation of family and work (assi-child office, emergency and holiday care support) occupational pension provision and collective leave entitlement Fringe Benefits in the form of discounts on corporate benefits