Phd Research Associate (Industry Phd Program) - Artificial Intelligence, Sap Labs Singapore

Company Overview

At SAP, we keep it simple : you bring your best to us, and we'll bring out the best in you.

We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next.

The work is challenging – but it matters.

You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong.

What's in it for you?

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

• SAP will be prioritizing candidates with full working rights in Singapore.

Our Culture

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

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently.

We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all.

We believe that together we can transform industries, grow economics, lift societies, and sustain our environment.

Because it's the best-run businesses that make the world run better and improve people's lives.

At SAP, we build breakthroughs, together.

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 front of innovation in Business AI.

You will work full-time 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.

While your focus will be on research and completing your PhD, you will be able to gain industry exposure through working on projects with our data scientists and developers to embed the latest advancements in AI / ML into our software products.

This unique opportunity combines academic pursuit with practical experience, allowing you to gain valuable insights into the real-world impact of your research.

Successful candidates need to be accepted into the PhD program by NUS.

Expectations and Tasks

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 them

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

EE O T

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 :

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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 Information

Requisition ID :

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