Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data

Your tasks What you`ll do:

The Role Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Expand the horizon of what is possible by bringing together rich semantic context with large scale business data Define the research agenda for a small squad of research scientists and engineers Enable academic research by providing Business AI relevant problem statements, frameworks and data sets. Keep the pulse with novel research, providing insights into the latest research findings and making them comparable with internal work. Translate applied research breakthroughs into research publications at relevant top-tier conferences and contribute to thought leadership in foundation and world models on structured data. Collaborate closely with various domain specialists and data owners to understand how the data can be used for world model training. Contribute to thought leadership in an entirely new field of Foundation and World Models on Structured Data. Work closely with the team developing the relational pre-trained transformer (SAP-RPT-1) to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices. Collaborate with established academic partners and define new collaborations with top tier academic researchers. Supervise PhD students during summer internships or as part of academic collaborations. What you bring: PhD in Computer Science, Artificial Intelligence, physics, mathematics or other relevant disciplines Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large scale structured data, World Models. This should be supported by a substantial record of related publications, including recent works, at top tier conferences and a well-established network in these fields. A strong research vision for foundation models on structured data, and of how world models impact the development of such foundation models Extensive research experience with machine learning on structured data Ideally, experience in Causal AI and how it relates to foundation models on structured data Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with (knowledge) graph technologies Ideally, professional experience with the combination of knowledge graphs and large language models in ERP domain Proven history of leading projects with a strategic mindset complemented by superior organizational abilities We offer What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 448468 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Berufserfahren | Employment Type: Vollzeit, unbefristet | #LI-Hybrid

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Publicada em 29 de out. de 2026

Publicada em 10 de out. de 2026

Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn