[What the role is]

This is a 2-year contract position as a Lecturer / Senior Lecturer in the School of InfoComm Technology.

The School of InfoComm Technology is seeking passionate and industry-oriented professionals to join the Diploma in Cybersecurity & Digital Forensics (CSF) as a Lecturer / Senior Lecturer. The role focuses on nurturing the next generation of cybersecurity professionals for an increasingly AI-enabled and connected world through teaching and mentoring youth and adult learners, developing industry-relevant curriculum, designing authentic learning experiences, fostering industry partnerships, and contributing to applied projects and educational innovation.

[What you will be working on]

Your responsibilities will include, but are not limited to, the following:

• Develop and deliver teaching and assessment materials for PET and CET students, incorporating authentic and industry-relevant learning experiences.
• Develop and enhance curriculum by incorporating industry practices, emerging technologies and innovative pedagogies.
• Mentor and support students in their learning, professional development, Education and Career Guidance, and employability.
• Build partnerships with industry for curriculum development, industry projects, internships, guest lectures, CET training and other engagement opportunities.
• Explore and integrate emerging technologies, including Generative AI, into teaching and learning, while promoting effective and responsible use.
• Keep abreast of developments in cybersecurity and emerging technologies and translate relevant trends into curriculum and learning activities.
• Participate in applied research, consultancy, industry projects and other school or institutional initiatives.
• Undertake administrative duties related to teaching and assigned responsibilities.

[What we are looking for]

• At least 3 years of relevant industry experience in cybersecurity, digital forensics or related technology fields.
• Strong expertise in one or more areas such as Cybersecurity Operations, Digital Forensics, Malware Analysis, Web/Application Security, Network Security, Cloud Security, AI Security or related fields.
• Proficiency in Python, JavaScript, Assembly and/or other relevant programming or scripting languages, depending on area of expertise.
• Experience with relevant cybersecurity tools and platforms for malware analysis, digital forensics, network/application security or security operations.
• Strong interest in teaching, mentoring and developing both youth and adult learners, with the ability to translate industry experience into practical and engaging learning experiences.
• Experience in Generative AI, AI Security, Data Science, Data Engineering, Data Analytics, Cloud Security or OT/ICS Cybersecurity will be advantageous.
• Experience developing hands-on labs or industry projects, and relevant professional certifications in cybersecurity, cloud or related areas, will be advantageous.