Research Assistant - salary grade E13 TV-L Berliner Hochschulen

The honing of cylindrical functional surfaces is a critical process in the manufacturing chain, as it enables the production of high-quality component surfaces that meet the demanding requirements of various industries, including mechanical and plant engineering, automotive and supply chain, hydraulics, pneumatics, aerospace, and medical technology. However, the capabilities of currently available honing tools are being pushed to their limits. Notably, the honing of blind hole drillings poses significant challenges with existing tools, resulting in high production costs. To address this issue, a research project will be conducted in collaboration with an industrial partner to develop an innovative honing tool that utilizes additively manufactured honing stones.

The scope of activities includes the following aspects:

• Research the innovative field of honing blind hole bores
• Planning, executing and analysis of experimental research to gain a deeper understanding of the relationships between process parameters, tool design, and surface finish during longitudinal stroke honing
• Development of a predictive model for designing honing tools that can accommodate the specific demands of the honing blind hole bores
• Collaboration in research activities of the chair
• Collaboration, coordination and organisation of research projects in close cooperation with industrial companies, research associations and scientific partners
• Presentation of research results to industry representatives and scientists at national and international conferences

• Successfully completed scientific university studies (diploma, master’s degree) in mechanical engineering or related engineering sciences
• In-depth knowledge in the field of additive and cutting technologies
• In-depth knowledge in the field of honing
• Extensive experience in working with machine tools and industrial robots
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills
• Experience with programming languages for data processing and process modelling, e.g., Python or Matlab
• Advanced knowledge of statistical design of experiments and experience in project management desirable
• Experience in the field of numerical simulation methods, e.g. FEM, CFD, DEM advantageous
• Independent, systematic and structured way of working desirable
• Willingness to undertake business trips (national and international) desirable

Please send your application with the reference number and the usual documents only via email bundled in one PDF document to Dr.-Ing. Bold via bold@iwf.tu-berlin.de.

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To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.