A*STAR

Senior Lab Officer/ Research Engineer (Supply and Logistics Management), (FAB), IME

A*STAR
ResearchSingaporeOnsitePosted 6 days ago

About the role

AI summarised

Senior-level role managing cleanroom inventory and materials logistics within a semiconductor R&D facility. Focus on digital transformation of inventory processes using AI, ERP/MES integration, and real-time tracking of wafers, chemicals, and consumables to optimize supply chain efficiency and contamination control.

ResearchOnsiteInstitute of Microelectronics

Key Responsibilities

  • Oversee and maintain accurate inventory records for cleanroom materials including wafers, FOUPs/FOSBs, chemicals, spare parts and consumables
  • Track material movements across facilities, labs, or cleanroom areas and ensure proper documentation
  • Conduct routine inventory checks, cycle counts, and reconciliation to maintain data accuracy
  • Monitor stock levels and coordinate with planning, procurement and operations teams to prevent shortages or excess inventory
  • Ensure proper storage, labelling, and handling of cleanroom materials in compliance with contamination control standards
  • Implement and utilize digital platforms or AI tools to enhance inventory tracking and traceability
  • Develop digital dashboards and automated reports for real-time visibility of inventory status
  • Apply data analytics or AI-assisted forecasting to optimize inventory planning and usage
  • Support the integration of inventory data with ERP, MES, or digital supply chain systems
  • Identify opportunities and initiate, to automate or digitalize manual inventory processes within the cleanroom environment
  • Improve material flow efficiency between cleanrooms, labs, and storage locations
  • Support initiatives related to smart manufacturing, Industry 4.0, or digital transformation

Requirements

  • Diploma or Degree in Supply Chain Management, Engineering, Semiconductor Technology, Data Analytics, or related field
  • 2–5 years of experience in inventory control, logistics, or operations within a cleanroom or semiconductor environment
  • Familiarity with cleanroom protocols and handling of semiconductor materials
  • Experience with ERP, MES, or inventory management systems
  • Knowledge of AI tools, digital dashboards (e.g., Power BI), automation platforms, or data analytics tools is advantageous
  • Strong analytical skills with attention to detail and process improvement positive mindset
  • Experience managing FOUPs, FOSBs, wafer logistics, spart parts or chemical inventories
  • Familiarity with cleanroom contamination control practices
  • Knowledge of digital supply chain, smart manufacturing, or Industry 4.0 technologies
  • Ability to develop data-driven insights for operational improvements