Public summary
This role involves pioneering research in foundation and world models on structured business data within a leading enterprise software company. The successful candidate will lead technical advances, collaborate with academic partners, and contribute to top-tier scientific publications. The position supports professional growth in AI research, focusing on structured data applications in business scenarios. The role is based in Germany and supports an inclusive, flexible, and well-being focused work environment.
Location and work setup
- Location
- Garching bei München
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Lead technical innovation in foundation models and world models for structured business data; integrate semantic context with large-scale business data; provide AI-relevant problem statements, frameworks, and datasets to support academic research; monitor and communicate novel research findings; publish research at top-tier conferences; contribute to thought leadership in this emerging field; align internal projects with community best practices; collaborate with academic partners and supervise PhD students.
Qualifications
PhD in Computer Science, Artificial Intelligence, Physics, Mathematics, or related disciplines; substantial publication record in foundation models, machine learning on structured data, or world models at top-tier conferences; extensive experience in machine learning on structured data and developing related foundation models; proficiency in Python and ML frameworks like PyTorch or TensorFlow; desirable experience in Causal AI, knowledge graphs, and their application in ERP domains.