PhD Intern (f/m/d) - Business AI Research

What You’ll Do As a PhD Intern you will work with a team of experienced researchers and data scientists taking on challenges posed by SAP customers and product units and providing smart services across and beyond the SAP portfolio. You will have the chance to work with some of the richest data sets available in the world addressing real‑world problems. Perform state‑of‑the‑art research to advance Machine Learning and Artificial Intelligence. Foundation Models on Structured, Tabular Data Business Knowledge Graph construction Scalable access to business data using LLMs and Knowledge Graphs Publish research results and contribute to research that can be applied to SAP product development. Collaborate with academic researchers and cross‑functional partners, including communicating research plans, progress, and results. What You Bring You are a PhD student at least in your second year or a Postdoc, specializing in one of our research areas: Foundation Models on Structured Data or LLMs and Knowledge Graphs. Strong foundation in machine learning, including building systems utilizing deep learning, natural language processing, LLMs, Foundation Models, or Knowledge Graphs. Strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS. Proficient in PyTorch, Python, and HuggingFace Transformers, with a good understanding of statistical analysis and shell programming. Must be fluent in English. Duration: at least 4 months, ideally 6 months, and should take place in 2025. Meet Your Team SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Leveraging the cutting‑edge developments in AI research along with SAP's unparalleled enterprise data assets offers a distinctive opportunity to explore an uncharted domain within AI research. As a vital part of this organization, our team is dedicated to pioneering transformative advancements in high‑value domains, including Foundation Models for structured data and the development of comprehensive grounding for widespread SAP applications through Knowledge Graphs. Equal Opportunity SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. #J-18808-Ljbffr SAP