School of Engineering - Lecturer (Electrical Eng & Next-Gen Connectivity)
sggovterp
| Company | sggovterp |
| Category | Education |
| Location | Republic Polytechnic |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (workday) |
Description
[What the role is]
School of Engineering - Lecturer (Electrical Engineering, Communications & Next-Generation Connectivity)
[What you will be working on]
• Deliver and develop lessons in electrical engineering, electronics and communications engineering.
• Teach topics such as circuit analysis, analogue and digital electronics, instrumentation, communication systems, RF fundamentals, antennas, optical fibre communications, wireless communications and communication networks.
• Deliver emerging topics including 5G/5G-Advanced, 6G fundamentals, Open RAN, private 5G, IoT/AIoT, LPWAN, edge computing, cloud-native telecommunications and smart-city connectivity.
• Develop laboratories and projects involving AI-enabled wireless communications, network optimisation, intelligent radio resource management, AI-assisted network planning, network analytics and AI-native communications systems.
• 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, communications and networking.
• Knowledge or exposure in one or more areas:
• Wireless or mobile communications
• Communication networks and IP networking
• RF systems or optical communications
• 5G/5G-Advanced, IoT or edge computing
• Interest or experience in AI/ML applications for communications, such as:
• AI-enabled network optimisation
• Network analytics
• Intelligent wireless planning
• Predictive network maintenance
• AI-assisted communications systems
• Ability to utilise AI tools for engineering, teaching and applied projects.
• Passion for teaching, mentoring and engaging youths.
• Strong communication and interpersonal skills.