School of Engineering - Lecturer (Electrical & Semiconductor Engineering)
[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.