Master Thesis in Multi-Scale Data Analysis of Surface Topography Robert-Bosch-Campus 1, 71272 Renningen, Germany Full-time Robert Bosch GmbH Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description Knowledge of surface topography is indispensable for new advancements of technology. A multi-laboratory study involving over 60 labs has generated a collection of surface topography data, and the first report of the study has been published (see contact.engineering). The data is accessible to the public and includes the measurement results obtained using various methods (e.g. optical and stylus) and resolutions, probes and scales. The aim of your Master thesis is the analysis of data to characterize certain roughness parameters in different scales and to assess which methods are more reliable and why. Due to the vast amount of data, a scientific method of analysis and categorization is needed to interpret it. The derived conclusions will be adapted in practical applications. Qualifications Education: Master studies in the field of Physics, Mechanical Engineering, Computational Engineering, Physical Engineering or comparable Experience and Knowledge: very good in MATLAB or Python for data analysis; knowledge of surface analysis is beneficial Personality and Working Practice : you are a motivated person with an interest in scientific work within industry Languages: very good in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Charlotte Spies (Functional Department) 49 711 811 22790 LI-DNI