About Bosch Group

The Bosch Group is a leading global supplier of technology and services, employing roughly 429,400 associates worldwide and generating sales of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.  As a leading IoT company, Bosch offers innovative solutions for smart homes, smart cities, connected mobility, and connected manufacturing.  It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to deliver innovations for a connected life. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technologies that is “Invented for life.”

About Robert Bosch (South East Asia)

Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group’s interests in Southeast Asia, where it is currently present in all ASEAN member countries. The company is active in all the company’s four business sectors of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The Asia Pacific headquarters for its Mobility Aftermarket, Building Technology and Bosch Software Innovations businesses, as well as operations for Corporate Research and Advance Engineering, and Information Technology, are part of Robert Bosch (SEA) Pte Ltd. In Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us.

As a part of our global research unit, our Singapore team’s focus is on the domain of sustainability and AI in manufacturing. Our team explores the use of Artificial Intelligence and knowledge engineering to accelerate the Bosch’s transition towards a circular economy. Key application areas are design, manufacturing, industrial automation, robotics, energy optimization, recycling, supply chain optimization and sustainable product EoL (End-of-life) management.

Disassembly is a critical step for sustainable Product EoL management, yet full automation remains challenging due to product heterogeneity and the lack of standardized procedures. Leveraging advanced AI agents including multimodal Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), to enhance Knowledge Graphs (KGs) can provide structured representations of products, materials, and processes, enabling efficient and adaptive disassembly for high-mix-low-volume EoL product scenarios. This AI-driven framework could optimize resource utilization and promote safety, and also support human operators in complex disassembly tasks, advancing automation and sustainability in line with circular economy principles.

This position offers an exciting opportunity to conduct cutting-edge research in developing and validating agent-based system for product-agnostic disassembly step generation. The successful candidate will be working at world-class laboratories in NUS and Bosch.

• Singaporean or PR (to be eligible for EDB-IPP program).
• Bachelor’s or master’s degree in computer science or engineering, Mechanical/Electrical Engineering (w/ AI and programming background). 
• Fulfill the National University of Singapore (NUS) PhD programme requirements. 
• Excellent written and verbal communication skills.
• Curious, self-motivated, team player, and a passion to tackle real-world problems via research.
• Relevant research experience in the field of artificial intelligence, data science, robotics, knowledge graph, smart manufacturing and industrial automation.
• Familiarity with computer vision, multi-modal AI models, AI agent, software architecture design and/or robotic task and motion planning is a plus.
• Strong coding skill in Python and familiarity with semantic technologies, graph databases, and software engineering best practices.
• Basic understanding of large language models (LLMs) and AI-based data extraction methods
• Strong academic record, with at least one publication in top-tier conferences or peer-reviewed journals (preferred).
• Fresh degree holders with excellent academic results are also encouraged to apply.