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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.
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 believe that together we can transform industries, grow economics, lift societies, and sustain our environment. At SAP, we build breakthroughs, together.
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 and aims to boost ecosystem and community engagement.
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. Possible PhD topics 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 gain industry exposure through working on projects with our data scientists and developers, embedding the latest advancements in AI/ML into our software products.
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
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
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
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 feels included and can run at their best.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender, sexual orientation, gender identity or expression, protected veteran status, or disability.
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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