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A*STAR

Scientist (Heterogeneous Integration), IME

A*STAR
ResearchSingaporeOnsitePosted 3 weeks ago
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About the role

AI summarised

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate Principal Scientist to advance state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes. This role involves developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, alongside conducting electrical and reliability characterization.

ResearchOnsiteInstitute of Microelectronics

Key Responsibilities

  • Collaborate with senior staff, process integrators, and external partners on technology roadmaps and business challenges.
  • Lead high-impact projects with manageable risks and mentor less experienced colleagues.
  • Conceive and plan projects involving new materials, advanced process integration approaches, and innovative concepts.
  • Research and develop advanced packaging technology including flip-chip & hybrid bonding for 2.5D and 3D IC applications.
  • Investigate and refine wafer bonding processes for interposer fabrication, gap fill, and alignment accuracy.
  • Optimize die bonding processes, including material selection, surface preparation, and bonding methods.
  • Conduct engineering experiments for process characterization to drive quality and yield improvements.
  • Perform reliability characterization of hybrid-bonded packages to ensure robustness and long-term performance.
  • Act as a Subject Matter Expert (SME) for internal and external stakeholders.

Requirements

  • PhD in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
  • 0 to 5 years of experience in microelectronic devices, circuits, and hybrid component integration.
  • Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.
  • Strong knowledge of hybrid bonding equipment technologies, bonding materials, and methodologies.
  • Proficiency in data analysis, interpretation, and design of experiments.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication abilities.
  • Ability to work collaboratively in a research-oriented environment.