Roles & Responsibilities:
Conduct cutting-edge research in Neuro-Symbolic AI, focusing on the integration of formal knowledge representations (e.g., ontologies, knowledge graphs, logic-based systems) with modern machine learning and deep learning techniques.
Design, develop, and optimize multimodal data pipelines that combine text, vision, audio, sensor, and structured data to support knowledge-driven Neuro-Symbolic AI systems.
Architect and implement hybrid reasoning and analytical engines capable of complex problem-solving, including causal reasoning, planning, explainable decision-making, and symbolic-neural inference.
Design and develop knowledge-driven AI systems with natural language interaction capabilities, enabling explainable, trustworthy, and human-centered AI assistants.
Integrate Neuro-Symbolic reasoning with large language models (LLMs) and multimodal foundation models using knowledge grounding, structured retrieval and reasoning-aware workflows to improve robustness, interpretability, and domain adaptability.
Design, build, and evolve semantic assets - such as ontologies, knowledge graphs, semantic data models, and symbolic rules / constraints - that ground, validate, and explain neuro-symbolic AI systems in production-oriented research settings.
Prototype, evaluate, and validate research concepts through experiments, benchmarks, and real-world use cases, translating research outcomes into scalable solutions.
Collaborate closely with international, cross-disciplinary teams of researchers, engineers, and product stakeholders to apply research innovations to business-relevant scenarios such as product engineering, diagnostics, maintenance, and repair.
Contribute to technology transfer, supporting the transition from research prototypes to production-ready systems in collaboration with software and product teams.
Publish research findings in top-tier conferences and journals, file patents, and contribute to Bosch鈥檚 intellectual property portfolio.
Stay up to date with the latest advancements in AI, machine learning, knowledge representation, and multimodal systems, ensuring Bosch remains at the forefront of innovation.
Actively participate in internal and external research communities, workshops, and collaborations to foster knowledge exchange and thought leadership.