Overview
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.
Responsibilities
- 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? Design, develop, and validate a comprehensive, state-of-the-art AI curriculum within our Learning Factory. Take ownership of a significant R&D 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 is 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.
- 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.
- Develop data generation and augmentation strategies to address real-world challenges such as data scarcity, noise and imbalance, creating high-quality datasets for learning modules.
- Create, train, and deploy advanced AI models for selected use cases and integrate MLOps principles to automate deployment pipelines, model monitoring, and model retraining.
- Produce a complete, high-quality "Curriculum-in-a-Box" including lecture notes, publication-ready documentation, interactive Jupyter notebooks, robust code repositories (via Git), and scalable exercises for master-level teaching.
- Develop and relocate a methodology for validating the educational effectiveness of the curriculum, e.g., through pilot workshops, user testing with student groups, and qualitative/quantitative analyses of learning outcomes.
- Write a comprehensive master's thesis documenting research, methodology, results, and contributions in AI education, meeting publication-quality standards.
- Start: according to prior agreement; Duration: 6 months
Qualifications
- Education: Master studies in Computer Science, Artificial Intelligence, Data Science, Engineering, Robotics or comparable
- Experience and Knowledge: deep experience with Python and libraries like PyTorch or TensorFlow; knowledge in core AI topics (time-series analysis, computer vision, RL, GANs); familiarity with MLOps concepts and tools (Git, Docker, CI/CD, Azure/AWS); prior research, internships, or significant ML projects
- Personality and Working Practice: independent, self-driven researcher capable of managing a long-term, complex project; creative problem-solver with analytical rigor; ability to articulate complex technical ideas in writing and verbally
- Work Routine: option to work remotely part of the time
- Languages: business fluent in English
- Requirement for this thesis: enrollment at university; please attach CV, transcript, examination regulations and, if indicated, valid work and residence permit
- Diversity and inclusion: we welcome all applications regardless of gender, age, disability, religion, ethnic origin or sexual identity
- Start: according to prior agreement; Duration: 6 months
Additional Information
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.
Move with us. Win together.
LI-DNI