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

Join Bosch Group as we innovate and enhance the properties of plastics through data-driven modifications tailored for specific components and processes. This role is pivotal in optimizing material performance and advancing our manufacturing capabilities.

Embark on a pioneering journey with Bosch Group as you explore the intricate world of polymer inkjet printing in the semiconductor industry. This master's thesis opportunity focuses on optimizing processes related to cross-section control and wetting behavior, providing you with hands-on experience in advanced manufacturing techniques.

As an intern, you will engage in simulating various charging scenarios, including vehicle-to-home (V2H), vehicle-to-grid (V2G), uncontrolled charging, and rapid charging techniques.Your responsibilities will also include optimizing charging strategies while considering current market dynamics and climate conditions.Analyze battery aging processes to enhance battery life and performance.Conduct thorough data analyses and assessments to derive meaningful insights.Participate actively in designing innovative features and contribute your creative ideas.Utilize Python to develop new features, integrate them into our systems, perform software testing, and meticulously document your findings.

Embark on a transformative journey with Bosch Group as you pursue your master's thesis focusing on the validation and optimization of controllers using advanced foundation models. This position offers you the unique opportunity to work at the forefront of innovation in a dynamic and supportive environment.

As part of your master's thesis, you will develop an extensive material model for Silicon Carbide (SiC) designed for thermomechanical simulations.You will initiate and execute thermomechanical Finite Element Method (FEM) simulations for laser material processing, which entails incorporating heat sources and material properties to forecast temperature distributions, residual stresses, and the likelihood of crack formation.Additionally, you will design, conduct, and analyze validation experiments to create reference data, including the assessment of residual stresses.Ultimately, you will compare and validate your simulation outcomes with experimental data to enhance your model's accuracy.

Join Bosch Group as a pivotal contributor to our cutting-edge research in CFD simulation and the modeling of laser processing techniques. In this role, you will harness advanced simulation tools to optimize laser machining processes, driving innovation within the industry.

Join our innovative team at Bosch Group in Renningen, where you will engage in cutting-edge research and development focusing on the thesis development and analysis of optical methods for laser-processed semiconductors. This role offers a unique opportunity to contribute to advancements in semiconductor technology and optical methodologies.

Join the Bosch Group as a Data Engineer (f/m/div.) in Renningen, where you will play a pivotal role in transforming data into actionable insights. This position offers you the opportunity to work with cutting-edge technologies and be part of innovative projects that shape the future of mobility, energy, and manufacturing.

Join Bosch Group as a Master's Thesis candidate focused on the optimized design of robotic assembly systems. This opportunity allows you to contribute to innovative solutions in automation and robotics, while gaining valuable hands-on experience in a leading global technology company.

Join Bosch Group as a Master's thesis student working on a project focused on determining the available visibility required for calculating comfortable motorcycle riding speeds. This unique opportunity will allow you to contribute to cutting-edge research that impacts road safety and riding experience.

Join us at Bosch Group as a Master's thesis candidate focusing on AEM water electrolysis. This role involves the implementation and optimization of a cutting-edge reference electrode concept.

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.

Join Bosch Group as a Master's thesis candidate focusing on data-efficient hybrid machine learning methods aimed at enhancing the reliability of vibration system predictions. This opportunity allows you to work alongside industry experts, engage in cutting-edge research, and contribute to innovative solutions that will shape the future of predictive analytics.