School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

Public Service Division; Singapore; Sur place; SGD 70 000 - 110 000; Plein temps

Résumé du poste

Public Service Division in Singapore invites applications for a Lecturer (Electrical Engineering, Semiconductor Technology & Manufacturing) within the School of Engineering. You will deliver and develop lessons across electronics, microelectronics, and semiconductor topics, while guiding student projects and collaborating with industry partners on curriculum and applied projects.

The role emphasizes AI-enabled semiconductor manufacturing, Industry 4.0, and curriculum development; strong

Qualifications

• Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics.
• Exposure to semiconductor manufacturing and wafer fabrication.
• Experience with equipment, process or product engineering.
• Knowledge of testing, reliability or yield engineering.
• Awareness of advanced packaging or semiconductor automation.
• Interest or experience in AI for semiconductor applications, including yield prediction and defect detection.
• Ability to utilise AI tools for teaching and applied projects.
• Passion for teaching, mentoring and engaging youths.
• Strong communication and interpersonal skills.

Responsabilités

• 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.

Connaissances

Electronics

Electrical engineering

Semiconductor devices

Microelectronics

AI applications in semiconductor

Description du poste

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.