Research Assistant Virtual Machining (VM) in Production Engineering (Machining)

The Technical University of Dortmund is a dynamic research-oriented university with 17 faculties in the natural and engineering sciences as well as social and cultural sciences. At our international campus, around 6,700 employees contribute daily to solve urgent questions of the present and the future. Openness and diversity not only shape the coexistence in research and teaching, but also in technology and administration.

Scientific employees*r Virtual Machining (VM) in production technology (cutting)

At the Technical University of Dortmund, the company Virtual Machining (VM) in the production technology (cutting) as of 01.10.2026 is to occupy the place of a person employed in science for a period of three years. The fee is paid according to the tariff regulations according to pay group 13 TV-L. This is a 100% position. Reduction is possible in principle. The possibility to work on a doctorate is given. As part of the above-mentioned joint project for researching a new methodology of data-driven models for resource-efficient design of NC-controlled milling processes, your focus is on the development of an efficient experimental concept for process-parallel detection of high-resolution process data by means of sensor integration close to the economic point and (semi-)automated experimental implementation. The focus is on evaluating the process stability during milling. In close cooperation with our project partners, the evaluation of the measurement data quality as well as the investigation of signal-specific processing strategies is essential to create a robust data base for the development of data-driven models. Excellent master's degree in mechanical engineering or a related field Knowledge and practical experience in production technology, especially milling Knowledge gained in the constructive implementation of measuring and testing devices and in the handling of machine tools Curiosity and motivation for research in an interdisciplinary team

In addition, knowledge in one or more of the following areas is advantageous: Python

As a successful candidate*in, the research group 5888, funded by the German Research Foundation, “Resource Efficiency in Data-driven Modeling for the Design of NC-driven Milling Processes” will investigate methods for future-oriented production and thus in a high-calibre, internationally connected research field. You become part of the interdisciplinary team VM, in which employees from the fields of production technology, computer science and data science jointly develop innovative research questions and thus develop new perspectives for production technology. You have the opportunity to international cooperation and to present your scientific results in high-level journals and leading international conferences. In addition to the scientific further qualification (promotion), there is the possibility of personal further development through the active support of continuing and continuing training in view of the relevant working priorities.