School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

Public Service Division; Singapore; On-site; SGD 78,000 - 112,000; Full time

Job summary

Public Service Division is seeking a Lecturer in the School of Engineering to deliver and develop courses in electrical engineering, electronics and semiconductor technology. You will teach modules across circuit analysis, IC fundamentals and instrumentation, while developing laboratories and projects that integrate AI for semiconductor manufacturing and Industry 4.0 concepts.

You will also develop CET programmes, supervise student internships and collaborate with industry partners on curriculum

Qualifications

• Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
• Knowledge or exposure to 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, computer vision for wafer inspection, predictive maintenance and manufacturing analytics.

Responsibilities

• Deliver and develop lessons in electrical engineering, electronics, microelectronics and semiconductor technology.
• Teach 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.

Skills

Electronics fundamentals

Electrical engineering

Semiconductor devices

Microelectronics

Semiconductor manufacturing

Wafer fabrication

AI for semiconductors

Job description

[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.