Phd Research Associate

**We help the world run better**

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

**About SAP**

**About SAP Labs Singapore**

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

**Role**

As a PhD Research Associate, under the Industry PhD program (IPP), you will be at the forefront of innovation in Business AI. You will work fulltime at the SAP Business AI unit while pursuing your PhD degree at the National University of Singapore (NUS). You will conduct cutting-edge research in generative AI and machine learning and publish your findings in top academic conferences and journals aligned to internal guidelines. Possible PhD topics, informed by real industry problems, include AI agents based on large language models (LLMs) and vision models, robust LLM-based evaluation, resilient multimodal retrieval-augmented-generation (RAG), document AI, multimodal LLMs for tabular AI, and synthetic data for anomaly detection. Your research will be supervised by a mentor at SAP and an academic supervisor at the university.

**Expectations and tasks**

Your tasks include:

- Push the frontiers of what is possible in AI in an SAP-defined research project
- Explore, understand, and implement recent research approaches and find ways to improve it
- Understand business processes and assess business relevance of AI solutions
- Create excellence both in terms of research results quality and system scalability
- Communicate the relevance of implemented systems and achieved results in a visual and consistent way
- Work closely with the data science and engineering teams to transfer research results into product code base
- Ability to work in global teams with different time zones
- Immerse yourself quickly into new topics, terminology, and development tasks
- Complete all academic requirements and your PhD degree on time

**Educational and experience requirements**

**Required**
- Undergraduate or master's degree in computer science, mathematics, statistics, or equivalent fields
- Acceptance to NUS PhD program
- Experience with machine and deep learning software packages and frameworks
- Hands-on with programming languages such as Python, C++, Java, Scala
- Experience in Large Language Models, Generative Pre-trained Transformer models, foundational models etc.
- Strong desire to overcome obstacles and make your work benefit SAP's customers
- Excellent written and communication skills in English language

**Optional**
- Publication track record on deep learning and machine learning
- Operational knowledge of Linux distributions
- Familiar with Agile/Scrum methodologies

Job Segment: Data Science, AI Developer, Machine Learning, Artificial Intelligence

**Bring out your best**

**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 and more equitable world.

**EOE AA M/F/Vet/Disability**:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Requisition ID: 407652 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.