Lecturer/Senior Lecturer (Edge Systems Architect) - Sch of Engineering

[What the role is]

[What you will be working on]

* Develop and deliver engaging and industry-relevant curriculum in areas such as edge computing, IoT architectures, distributed systems, cloud-edge integration, embedded systems, and related programming languages/frameworks.
* Conduct practical laboratory sessions, projects, and assessments to enhance students' hands-on skills in designing, deploying, and managing edge systems.
* Mentor and supervise student projects, internships, and final year projects, guiding them in technical problem-solving and innovation.
* Engage with industry partners to understand emerging trends, identify collaboration opportunities, and integrate real-world scenarios into teaching.
* Participate in curriculum review and development, ensuring alignment with industry needs and technological advancements.
* Contribute to departmental and scool-wide initiatives, including outreach programs and faculty development.
* Conduct applied research or industry consultancy projects, where applicable, to enhance professional development and contribute to the polytechnic's knowledge base.
* Maintain up-to-date knowledge of edge computing technologies, standards, and best practices.

*Mentoring students from your personal mentor group and liasing with students in local and oversea attachment. Support school initiatives and promotion in Open house.
#LI-Hybrid

[What we are looking for]

*Education: Degree or Postgraduate qualification in Electrical and Electronics Engineering, Computer Engineering, Computer Science, or related fields.
* Proven industry experience (at least 3 years for Lecturer, 5+ years for Senior Lecturer) in designing, developing, or deploying edge computing solutions, IoT systems, or distributed architectures.
* Strong theoretical and practical knowledge in areas such as edge device management, edge AI, real-time data processing, network protocols for edge, containerization (e.g., Docker, Kubernetes for edge), and cloud platforms (e.g., AWS IoT, Azure IoT Edge, Google Cloud IoT).
* Proficiency in programming languages relevant to edge systems (e.g., Python, C/C++, Go, Java, JavaScript) and experience with relevant frameworks/tools.
* Prior teaching experience at a tertiary institution or corporate training experience would be an advantage.
* Excellent communication, presentation, and interpersonal skills.
* Ability to work effectively in a team-oriented environment and collaborate with industry partners.
* A passion for teaching and a commitment to nurturing the next generation of engineers.