PhD - Data-Driven Modification of Plastics for Component and Process-Specific Properties Optimization

Do you want to turn your ideas into useful and meaningful technologies? Whether in the area of Mobility Solutions, Consumer Goods, Industrial Technology or Energy and Building Technology - with us you improve the quality of life of people around the world. Welcome to Bosch. Robert Bosch GmbH is looking forward to your application!

Type of employment: Limited Working time: Full time Place of work: Renningen You develop an innovative methodology for data-driven prediction of process and material properties of plastics and thus provide the basis for sound, targeted material decisions. In this case, you combine physical and/or chemical models with relevant process variables as well as material characteristics to enable targeted and efficient material modification. You develop, implement, optimize data-driven models in Python, implement and optimize them and integrate them seamlessly into existing routines. The models you developed validate by laboratory tests under production-related conditions and evaluate the results in terms of material and component properties. You systematically analyze the relationships between process parameters, polymer structure and resulting material performance. You use these findings specifically for modeling or optimization. With your dedicated and structured way of working, you contribute significantly to the success of a pioneering research project and present, document and discuss your results regularly in the project team in close cooperation with our specialist experts and laboratory staff.

Education: completed studies in materials science, polymer chemistry, engineering (plastic engineering, chemical engineering), physics or a comparable discipline with very good success Experiences and know-how: sound knowledge of the relationship between polymer structure, process parameters and material properties broad knowledge in mathematical modelling of physical systems and/or data-driven methods very good programming knowledge in Python Knowledge of machine learning

Personality and working methods: You are characterized by an independent, methodological and analytical method and are pleased to penetrate complex questions at the interface of material science and data analysis; as a team player you work reliably and solution-oriented together and bring your analytical skills engaged Enthusiasm: You bring a strong interest in data-driven material development and in their application in industrial manufacturing processes, in particular in plastics technology (spray casting) Languages: very good German and English in word and writing

Work-Life Balance: Flexible work in terms of time, location and work model. Health and Sports: Wide range of health and sports activities. Childcare: childcare services. Employee discounts: Advantages for employees. Free space for creative work: free space for creative work. Social counselling and care: Social counselling and brokerage services.

The future personnel department or the department will be happy to inform you about the individual service catalogue. .