Promotion - CFD Simulation and Modeling of Laser Processing Techniques

Join Bosch Group as a PhD candidate in Generative Models for Closed-loop Synthesis. This is an exciting opportunity to engage in innovative research that bridges theoretical advancements with practical applications in the field of synthesis technology.

Join Bosch Group as a PhD candidate focused on efficient neural representation of datasets. You'll engage in groundbreaking research, contributing to innovative machine learning applications. This role is perfect for those passionate about advancing neural networks and data representation techniques.

Bosch Group offers a PhD opportunity focused on cross-domain hyperspectral anomaly detection in manufacturing. This research role aims to advance manufacturing processes by applying hyperspectral imaging to detect and address anomalies. Key responsibilities Investigate and develop methods for hyperspectral anomaly detection, specifically for manufacturing contexts. Work with complex data sets to spot product anomalies and contribute to quality improvement. Collaborate with a research team to support projects that enhance efficiency and foster innovation in manufacturing. Location This position is based in Renningen.

Join us in the development of control and assistance functions in the eBike sector through model-based methodologies. This internship offers a unique opportunity to create and parameterize a bicycle model using MATLAB/Python, tackling the complexities of parameter influences on functional development.After initial training, you will create a bike model and parameterize it using established methodologies (Meijaard, Papadopoulos, Ruina, Schwab, 2007). You will have access to measurements for model validation and a bicycle prototype.Next, you will adapt and implement intrusive Polynomial Chaos Expansion (PCE) within MATLAB/Python for the bicycle model.This will enable a systematic investigation of how model parameters affect system states.You will experimentally validate the results using the prototype.In the latter half of your internship, you will design a controller and test it through simulation, ensuring robust navigation of the bicycle along a pre-defined path under parameter uncertainties.Furthermore, you will identify the most critical parameters through a global sensitivity analysis and compile your findings into a comprehensive report.

Join Bosch Group as you embark on an exciting master's thesis project focused on the development of physical Python models for drive systems in the cutting-edge field of semiconductor manufacturing. This is an extraordinary opportunity to apply your theoretical knowledge to real-world applications, enhancing your skills while contributing to innovative solutions within a globally recognized company.

Join Bosch Group as a Research Engineer specializing in Foundation Model ML Ops. In this exciting role, you will contribute to innovative machine learning operations focused on foundation models. Collaborate with a diverse team of experts to develop and optimize cutting-edge solutions that drive our digital transformation.

Bosch Group is seeking a Master Thesis student to explore advanced control strategies for next-generation vehicle dynamics. This position is based in Renningen and centers on research that supports the future of automotive technology. Role overview This thesis project involves investigating innovative approaches to vehicle control. The focus is on applying theoretical concepts to real-world challenges in vehicle dynamics, with the aim of contributing to the development of future vehicle systems. What you will do Conduct research on advanced control strategies for vehicle dynamics Apply theoretical knowledge to practical problems in automotive technology Collaborate with experienced professionals at Bosch Group Requirements This role is intended for a Master’s student with an interest in vehicle dynamics and control systems. Strong analytical and research skills will be important for success in this project.