Master Thesis in AI Curricula Development Lise-Meitner-Straße 2, 89081 Ulm, Germany Full-time Bosch Rexroth AG Company Description At Bosch Rexroth, everything revolves around movement and the success of our customers. With our networked drive and control technologies as well as digital solutions, their machines and systems work efficiently, safely and powerfully. We offer components, system solutions and services for mobile and industrial applications as well as for factory automation. In all areas, we value the know-how and commitment of our employees and enable dynamic careers in an international environment. Around 33,800 people in over 80 countries - and one corporate purpose: "We move industries to make our planet a better place." Do you want to make a difference? Then we look forward to receiving your application to Bosch Rexroth AG. Job Description Author a Landmark Thesis in AI Education. Define the New Standard for Applied AI. Are you a Master student seeking a thesis project that combines deep academic research with profound, practical impact? Do you believe the key to unlocking AI's potential lies in bridging the chasm between classroom theory and messy, real-world industrial application? We offer a unique opportunity to conduct your Master thesis at the intersection of AI, education, and industrial automation. Your project will be to design, develop, and validate a comprehensive, state-of-the-art AI curriculum within our Learning Factory. This is not just an academic exercise; you will take ownership of a significant research and development project, creating a robust educational framework that tackles the entire AI lifecycle—from strategic data planning and generation to sophisticated modeling, MLOps, and deployment. Your central research objective will be to develop and evaluate a curriculum that effectively teaches advanced AI concepts by grounding them in tangible, industrial use cases. You will be the primary driver of this project, from conceptualization to final delivery, culminating in a high-impact Master's thesis and a deployable educational product. During your assignment you will independently research, define and design complex, multifaceted AI use cases within the learning factory, covering topics such as time series anomaly detection, virtual sensors, explainable AI, predictive maintenance, transformers, reinforcement learning, and GANs in a comprehensive manner, demonstrating clear business relevance. You will evolve and implement sophisticated strategies for data generation as well as augmentation to address real-world challenges such as data scarcity, noise and imbalance, creating high-quality datasets for learning modules. Furthermore you will create, train, and implement advanced AI models for your selected use cases and integrate MLOps principles to automate deployment pipelines, model monitoring, and model retraining. Additionally, you will be responsible for creating a complete, high-quality "Curriculum-in-a-Box" that includes detailed lecture notes, publication-ready documentation, interactive Jupyter notebooks, robust code repositories (via Git), and scalable exercises for teaching at the master's level. Your job includes developing as well as relocating a methodology for validating the educational effectiveness of the curriculum, for example through pilot workshops, user testing with student groups, as well as qualitative and quantitative analyses of learning outcomes. Finally you will write a comprehensive master's thesis that documents your research, methodology, results, and contributions in the field of AI education, and meets publication-quality standards. Qualifications Education: Master studies in the field of Computer Science, Artificial Intelligence, Data Science, Engineering, Robotics or comparable Experience and Knowledge: deep experience with Python and with libraries like PyTorch or TensorFlow; sound knowledge in several of our core AI topics, e.g. time-series analysis, computer vision, RL, GANs; strong familiarity with MLOps concepts and tools, e.g. Git, Docker, CI/CD, cloud platforms like Azure/AWS; previous research, internships, or significant projects involving ML model development and deployment are highly desirable Personality and Working Practice: you are a highly independent, self-driven researcher capable of managing a long-term, complex project from start to finish; you possess the creativity to envision innovative solutions and the analytical rigor to execute them; you can articulate complex technical ideas and research findings with clarity and precision, both in writing (for your thesis and documentation) and verbally Work Routine: we offer you the possibility to work remotely part of the time Languages: business fluent in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Joerg Schmitt (Functional Department) 49 162 1839281 You can also find more information about us at www.boschrexroth.de/karriere and on our social media channels, for example Instagram. Move with us. Win together. LI-DNI