Master Thesis in Automated Driving Systems

Bosch Group seeks a Tech Lead Software Engineering for Cloud-Based Industrial AI Solutions in Renningen. This role leads a team dedicated to developing cloud software that supports greater efficiency in industrial operations. Key Responsibilities Direct the development of AI-driven cloud applications tailored for industrial settings Mentor and guide a team o…

Bosch Group seeks a Tech Lead to oversee the development of AI features for cloud-based industrial software. This role centers on creating new AI capabilities to enhance solutions used in industrial environments. Main responsibilities Guide a team in designing and building AI features on cloud platforms Work closely with experts from various fields to advance industrial AI applications Lead efforts to improve software that supports optimization of industrial processes Location This position is located 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.

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

Bosch Group in Renningen is offering a Master's thesis project focused on laser-based manufacturing techniques for silicon microoptics. This project aims to explore new methods that could enhance both efficiency and precision in the production of silicon-based microoptical components. Project Focus The thesis centers on research that supports advancements in microoptics manufacturing. The work may influence several application fields where silicon microoptics play a role. What you will do Investigate and experiment with advanced laser processes designed for silicon substrates Contribute to the development of improved manufacturing approaches for microoptical components Apply hands-on research methods to address challenges in efficiency and precision Location This Master's thesis opportunity is based in Renningen at Bosch Group.

Join Bosch Group as a Research Engineer in AI Validation, where you will play a crucial role in ensuring the reliability and performance of artificial intelligence systems. You will collaborate with cross-functional teams to develop innovative validation methodologies and contribute to the advancement of AI technologies.

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.

At Bosch, we are pioneers of innovation, dedicated to shaping the future of intelligent systems that are efficient, safe, and improve lives worldwide. We are looking for a forward-thinking Research Engineer to join our vibrant team, specializing in the dynamic intersection of reinforcement learning (RL) and agentic AI. Your innovative contributions will significantly influence critical Bosch sectors, such as automated driving, smart home solutions, energy management, and advanced manufacturing. As an integral part of our team, you will elevate the capabilities of AI technology, spearheading foundational research and developing core systems that will directly enhance Bosch's product offerings. Join us in converting complex challenges into tangible solutions.In this role, you will lead the design and architecture of cutting-edge AI systems, focusing on the seamless integration of reinforcement learning with agentic AI systems and multi-modal foundational models.Your responsibilities will include training and fine-tuning multi-modal large models to ensure their behavior aligns with Bosch's product specifications and real-world applications.You will push the boundaries of AI by improving existing machine learning frameworks and integrating innovative data-driven, generative techniques with secure, scalable reinforcement learning methodologies.A major component of your work will involve conducting original research, leading impactful projects that address complex scientific and practical issues at the intersection of RL and agentic AI, thereby making a significant contribution to Bosch's product line.Collaboration will be essential, as you will work closely with internal stakeholders and product teams to thoroughly understand their needs, conceptualize groundbreaking solutions, and deliver high-quality Minimum Viable Products (MVPs).Additionally, you will have the opportunity to share your insights by publishing and presenting your research findings in top-tier academic forums, while actively contributing to the larger scientific community.

Bosch Group is seeking a Research Engineer to focus on Neuro-Symbolic AI and Multimodal Assistant Systems at the Renningen location. This position centers on research and development that blends symbolic reasoning with neural network approaches. Role overview This role involves advancing AI systems that combine logic-based reasoning with machine learning. The aim is to improve how artificial intelligence understands and interacts with complex environments. What you will do Contribute to research projects that integrate neural and symbolic methods Develop and refine AI technologies for use in diverse applications Impact Your work will support the evolution of AI capabilities, helping shape future technologies that rely on both data-driven and knowledge-based approaches.

Bosch Group is seeking a Research Engineer with a focus on Neuro-Symbolic AI and Multimodal Assistant Systems. This position centers on advancing research and development projects that blend symbolic reasoning with neural network approaches. Role overview This role involves working on intelligent assistant solutions that bring together multiple input types, including text, voice, and vision. The aim is to drive innovation at the intersection of symbolic and neural AI methods. What you will do Contribute to research that combines symbolic reasoning with neural networks Support the development of assistant systems capable of processing and integrating different modalities Help advance Bosch’s work on intelligent, multimodal assistant technologies Location This position is based in Renningen.

Join Bosch Group as we explore groundbreaking concepts in µSpeaker chip design utilizing MEMS technology. As a full-time member of our innovative team, you will be at the forefront of technological advancements, contributing to the development of next-generation micro-speaker solutions.

Bosch Group is hiring a Research Engineer in Future Building Technology for its Renningen location. This position centers on supporting projects that advance the state of building technology with an emphasis on sustainability. Main focus Contribute to research and development efforts in building technology Support initiatives that promote sustainable solutions for future buildings Location This role is based in Renningen.

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 in Renningen invites applications for a master's thesis project centered on automated driving. This research explores how imitation learning and reinforcement learning can work together to improve mobility technologies. Project focus The thesis investigates the integration of two machine learning methods: imitation learning, which enables systems to mimic human driving behavior, and reinforcement learning, which allows systems to learn optimal actions through experience. By combining these approaches, the project seeks to contribute to the next generation of automated driving solutions. Location This master's thesis project is based at the Bosch Group site in Renningen.

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.

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.

Bosch Group is looking for an intern to join the team in Renningen and assist with the development and construction of research demonstrators. This position provides practical experience working with emerging technologies and supports active research efforts. Role overview This internship centers on building and developing prototypes used in research. Tasks involve collaborating with engineers and researchers to bring new concepts to life in a hands-on setting. What you will do Assist in the assembly and testing of research demonstrators Work alongside project teams to implement new technology solutions Contribute to ongoing research by supporting prototype development Location This internship is based in Renningen.

During this engaging internship, you will play a pivotal role in supporting the planning and execution of innovative research projects within the realm of additive manufacturing, specifically Laser Powder Bed Fusion (L-PBF).A primary focus will involve the integration of an automated data workflow through a Monitoring System.You will also be tasked with the development and refinement of essential materials to enhance their characteristics.Additionally, you will independently design and conduct experiments, including the analysis and measurement of products concerning microstructure, density, and topography.Lastly, you will contribute significantly to beam diagnostics (caustics).

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.