Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description - The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems. - You will precisely define assumptions, guarantees, and adaptation rules for modular autonomy stacks to secure system integrity across different abstraction levels. - More over, you will utilize advanced methods of optimal control, sequential decision-making under uncertainty, and reinforcement learning to develop robust, high-performance solutions. - Using machine learning, you will derive feasibility margins, uncertainties, and the safety contracts themselves from real-world data. - Translating research findings into concrete applications is a key goal, particularly in the domain of vehicle motion control and autonomous driving, to safely bridge the gap between high-level decisions and physical reality. - Last but not least, you will contribute significantly to making learning-enabled autonomy modular by design, guaranteeing safety by construction, and enabling verification at runtime. Qualifications - Education: excellent master's degree (or equivalent) in Control Engineering, Robotics, Computer Science, or a related field - Experience and Knowledge: solid background in optimization or control and programming proficiency in Python - Personality and Working Practice: you are enthusiastic about technical challenges, like to develop solutions in interdisciplinary, diverse teams and implement them up to the functional model; you are willing to take initiative and responsibility; you possess the ability to approach tasks systematically, methodically, combined with a consistent focus on finding solutions and a dedication to delivering high-quality results - Languages: very good English, German is an advantage Additional Information https://www.bosch-ai.com www.bosch.com/research The final PhD topic is subject to your university. Start: according to prior agreement Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account). 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 support during your application? Celina Dannecker (Human Resources) +49 711 811 21346 Need further information about the job? Felix Berkel (Functional Department) +49 711 811 92301 Work #LikeABosch starts here: Apply now!
Summary
Research and develop safety contracts for autonomous systems, defining assumptions and guarantees across abstraction levels using optimal control, reinforcement learning, and machine learning. Requires an excellent master's degree in control engineering, robotics, or computer science and strong Python and optimization or control skills.
Responsibilities
Design and develop safety contracts for autonomous systems; define assumptions, guarantees, and adaptation rules; use optimal control, sequential decision-making under uncertainty, reinforcement learning, and machine learning; translate research into vehicle motion control and autonomous driving; make learning-enabled autonomy modular and verifiable.
Qualifications
Excellent master's degree (or equivalent) in Control Engineering, Robotics, Computer Science, or related field; solid background in optimization or control; Python proficiency; enthusiasm for technical challenges; interdisciplinary teamwork; initiative and responsibility; systematic, methodical approach.
Education requirements
Excellent master's degree (or equivalent) in Control Engineering, Robotics, Computer Science, or related field.
Experience requirements
Solid background in optimization or control and Python proficiency; enthusiasm for technical challenges; interdisciplinary teamwork; initiative and responsibility; systematic, methodical approach.
How to apply
Submit CV, certificates, and links to GitHub or Kaggle account.