School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

sggovterp; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

sggovterp invites applications for a Lecturer position in Electrical Engineering, specializing in Semiconductor Technology and Manufacturing. The role involves delivering courses, developing curricula and labs, and supervising student projects at Singapore campuses.

The successful candidate will engage with industry and university partners to advance curriculum, applied projects and CET programmes, while supporting outreach and administrative duties.

Qualifications

• Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
• Exposure to semiconductor manufacturing and wafer fabrication is desirable.
• Interest/experience in AI for semiconductor applications, incl. yield prediction, defect detection, computer vision.

Responsibilities

• 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 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

AI for semiconductor applications

Tools

AI tools for engineering

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.