Master's Thesis Opportunity: Development of a Digital PCR Platform

As part of your thesis project, you will develop and test a position controller for an innovative electromechanical steering controller.Initially, you will analyze and model the steering controller within the control loop.Based on your model, you will derive the requirements for a controller, design the controller, and implement it in Simulink.Furthermore, y…

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.

Join Bosch Group as a Master's thesis candidate focusing on the development of robust control algorithms for state-of-the-art electromechanical brake systems. This is a unique opportunity to contribute to innovative projects that enhance vehicle safety and performance.

Join Bosch Group, a leader in innovative technology, for a master's thesis focused on the adaptive control of electric drives. This research opportunity will allow you to contribute to cutting-edge advancements in the field of electrical engineering while working alongside experts in the industry.

Join Bosch Group as a Master’s Thesis candidate focusing on cutting-edge AI-driven control algorithms for electromechanical braking systems. This is a unique opportunity to apply your theoretical knowledge in a practical setting, contributing to innovative projects that enhance safety and performance in automotive technology.

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.

Join the Bosch Group as a thesis student and explore the fascinating realm of personalization in future mobility systems. This project will allow you to contribute to innovative solutions that shape the future of transportation. You will collaborate with experienced professionals and have the opportunity to implement your own ideas in a practical environment.

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 Thesis student focusing on Automated Driving Systems. This opportunity allows you to engage in innovative research and development projects that shape the future of mobility. As a part of our team, you will work closely with experienced professionals, gaining hands-on experience in cutting-edge technology.

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.

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.

Bosch Group is offering a thesis project based in Renningen, focused on optoacoustic material analysis. This opportunity allows thesis students to participate in ongoing research, examining how optoacoustic methods are used to study and characterize various materials. Project Overview The work centers on applying optoacoustic techniques to investigate material properties. Students will join a team of experienced researchers and take part in active projects within this specialized area. What You Will Do Engage in hands-on research involving optoacoustic technology Work closely with Bosch Group experts Contribute to current material analysis initiatives Receive support for academic growth and thesis completion

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 Master's thesis student focusing on Execution-Aware Multi-Robot Planning. This innovative research opportunity will immerse you in the cutting-edge technologies of multi-robot systems. You will collaborate with experienced professionals, gaining practical insights into the complexities of robotic planning and execution.

As hydrogen emerges as a pivotal sustainable energy carrier, addressing the challenges associated with its storage is crucial. A key area of focus is the performance of elastomer seals in high-pressure systems. Given hydrogen's diminutive molecular structure, these seals (such as O-rings) are particularly vulnerable to Rapid Gas Decompression (RGD) failures following significant pressure drops (≥ 100 bar).In this thesis, you will be tasked with designing, building, and validating a specialized high-pressure test rig capable of operating up to 1000 bar. This rig will be essential for analyzing the deformation behavior of elastomeric sealing materials under RGD conditions.Your work will involve collaborating on the implementation and customization of the electronic controls for the test rig.You will also be responsible for experimental data collection and analysis, utilizing an inline camera system to monitor changes in the projected area of O-rings during tests, and interpreting experimental results that have already shown variations among elastomer materials (EPDM, VMQ, FKM) under RGD.Ultimately, you will lay the groundwork for future research into the performance of elastomers under extreme hydrogen conditions.

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.

The Bosch Group is offering an exciting opportunity for a Master's thesis project focused on the impact of deformation texture on the fatigue behavior of steels. This project will allow students to engage in cutting-edge research and contribute to advancements in material science.

Join Bosch Research and merge academic brilliance with impactful industrial applications. In this Master's thesis, you will play a crucial role in crafting sophisticated anomaly detection techniques for multi-channel vision systems utilized in quality control during series production. Our aim is to develop a versatile deep-learning model that utilizes visual features to consistently identify defects across diverse products and manufacturing environments.Throughout your thesis, you will investigate innovative methods in anomaly detection and multi-channel image processing, culminating in a groundbreaking, adaptable model for quality evaluation in industrial production.You will also implement, train, and assess your model using authentic production data, ensuring its durability and relevance for industrial use.Additionally, you will collaborate closely with experts from both research and production, regularly presenting your findings to promote continuous advancements in computer vision technology for manufacturing.

Bosch Group in Renningen invites engineering students to take on a thesis project focused on the characterization and analysis of GaN-based traction inverters. This opportunity connects academic study with hands-on research that relates directly to electric vehicle technology. Project Focus The thesis centers on examining the properties and performance of gallium nitride (GaN) traction inverters. This work aims to support ongoing innovation in electric mobility by deepening understanding of advanced power electronics. Collaboration Students will work alongside experienced professionals at Bosch Group, contributing to research efforts that drive progress in electric vehicle systems. Guidance and support will be provided throughout the project. Who Should Apply Engineering students seeking a thesis topic relevant to electric mobility Interest in power electronics and GaN technology Motivation to apply academic knowledge in a practical research setting