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PhD Research Associate

2 weeks ago

Singapore SAP SE Full time

PhD Research Associate (Industry PhD Program) - Artificial Intelligence, SAP Labs Singapore
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. 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.
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.
Role
As a PhD Research Associate, under the Industry PhD program (IPP), 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. Possible PhD topics include AI agents based on large language models (LLMs), robust LLM-based evaluation, resilient multimodal retrieval-augmented-generation (RAG), document 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 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.
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 them.
Understand business processes and assess the business relevance of AI solutions.
Create excellence in 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 and Generative Pre-trained Transformer models.
Strong desire to overcome obstacles and make your work benefit SAP's customers.
Excellent written and communication skills in English.
Optional
Publication track record on deep learning and machine learning.
Operational knowledge of Linux distributions.
Familiar with Agile/Scrum methodologies.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services.
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. SAP is proud to be an equal opportunity workplace and is an affirmative action employer.
Requisition ID: | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.
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