jobs in Republic Polytechnic

全职 School of Engineering - Lecturer (Electrical - Semiconductor Engineering) 工作, 薪水, Republic Polytechnic 公司招聘中 - Ricebowl

School of Engineering - Lecturer (Electrical - Semiconductor Engineering)

Republic Polytechnic

Undisclosed

全职

Singapore

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工作地点

  • Singapore Singapore

职位描述

岗位职责

[What the role is]

School of Engineering - Lecturer (Electrical Engineering, Semiconductor Technology & Manufacturing)

[What you will be working on]

  • Deliver and develop lessons in electrical engineering, electronics, microelectronics and semiconductor technology.
  • Teach topics such as circuit analysis, analogue and digital electronics, semiconductor devices, IC fundamentals, instrumentation and engineering applications.
  • Deliver semiconductor modules covering wafer fabrication, process integration, semiconductor manufacturing, testing, packaging, reliability and yield engineering.
  • Develop curriculum, laboratories and projects involving AI-enabled semiconductor manufacturing, smart factories, semiconductor data analytics, intelligent process control, computer vision and Industry 4.0 technologies.
  • Develop and conduct CET programmes, including Specialist Diploma and Part-time Diploma courses.
  • Supervise student projects, internships and applied learning activities.
  • Collaborate with industry and university partners on curriculum development, applied projects and industry engagement.
  • Support outreach activities, student development and administrative duties.

[What we are looking for]

  • Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
  • Knowledge or exposure in one or more areas:
  • Semiconductor manufacturing and wafer fabrication
  • Equipment, process or product engineering
  • Testing, reliability or yield engineering
  • Advanced packaging or semiconductor automation
  • Interest or experience in AI for semiconductor applications, including:
  • Yield prediction
  • Defect detection and classification
  • Computer vision for wafer inspection
  • Predictive maintenance
  • Manufacturing analytics
  • Digital twins
  • Smart manufacturing and Industry 4.0
  • AI-enabled process optimisation
  • Exposure to emerging technologies such as advanced packaging, chiplets, silicon photonics, AI accelerators, high-bandwidth memory (HBM) or SiC/GaN devices will be advantageous.
  • Ability to utilise AI tools for engineering, teaching and applied projects.
  • Passion for teaching, mentoring and engaging youths.
  • Strong communication and interpersonal skills.

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