School of Infocomm – Associate Lecturer (Infocomm Technology)

The School of Infocomm is seeking passionate, dynamic industry practitioners and educators to join us as Associate Lecturers. You will contribute to our full-time diploma programmes and/or Continuing Education and Training (CET) adult learning courses across one or more of our key technology domains: Cybersecurity & Digital Forensics, Cloud-Native Infrastructure & DevOps, Artificial Intelligence & Machine Learning, Software & Full-Stack Development, and Financial Technology (FinTech), as well as foundational ICT modules. Responsibilities • Module Delivery & Facilitation: Conduct classes, lab practicals, and workshops in line with polytechnic learning methodologies to achieve designated learning outcomes. • Assessment & Evaluation: Administer and grade student assessments, practical lab assignments, quizzes, and project deliverables with constructive feedback. • Curriculum & Instructional Support: Prepare and adapt classroom activities, code demonstrations, and learning resources to reflect real-world industry practices. • Industry Currency: Bring current industry practices, emerging tools, and ethical perspectives (e.g., data privacy, security governance, AI ethics) into classroom discussions. Requirements • Qualifications: Relevent qualification in Computer Science, Information Technology, Cybersecurity, Data Science/AI, Software Engineering, Financial Technology, Computer Engineering, or related disciplines. • Industry Experience: Minimum 2 years of relevant professional industry experience in your area of technical expertise. • Passion for Education: A strong commitment to nurturing, mentoring, and engaging youth and adult learners, backed by clear communication and interpersonal skills. Technical Domain Competencies: Applicants should possess hands-on proficiency in at least one (or more) of the following domains: 1. Cybersecurity & Digital Forensics o Penetration Testing / Red Teaming, Vulnerability Assessment o SOC Operations, SIEM, Firewall & Network Security Configuration o Cloud Security, Web Application Security, Secure Coding o Digital Forensics, Incident Response, Malware Analysis o IT Audit, Governance, Risk & Compliance (GRC), Personal Data Protection o Relevant certifications (e.g., CISSP, CISA, CISM, CEH, OSCP) are an advantage. 2. Cloud-Native Infrastructure & DevOps o Scripting and automation using Python, Bash, or PowerShell o CI/CD pipelines, DevOps workflows, and Infrastructure as Code (e.g., Ansible, Terraform) o Containerisation and Orchestration (Docker, Kubernetes) o Public/Private Cloud administration (AWS, Azure, Google Cloud, VMware, OpenStack) o Enterprise networking, server administration (Linux/Windows), and APM/monitoring (Splunk, ELK Stack) o Relevant certifications (e.g., AWS, Azure, RHCSA, CCNA, CKA) are an advantage. 3. Artificial Intelligence & Machine Learning o Machine Learning, Deep Learning, Generative AI, Agentic AI, and NLP/Computer Vision o ML frameworks and libraries (PyTorch, TensorFlow, Keras, Scikit-learn) and Python programming o Data engineering, data preprocessing, feature engineering, and cloud AI deployment pipelines o Foundational mathematics for AI (statistics, probability, linear algebra) and awareness of AI ethics/bias o Relevant cloud AI certifications (Azure AI, AWS Certified Machine Learning, Google Cloud AI) are an advantage. 4. Software & Full-Stack Development o Modern programming languages and frameworks (Python, JavaScript/TypeScript, ES6+, Java/Spring, Node.js, C++) o Front-end and back-end web development, RESTful APIs, and UI/UX design integration o Native or cross-platform mobile application development (e.g., Flutter, React Native) o Software testing (unit, integration, end-to-end), version control (Git), and containerised application deployment via CI/CD 5. Financial Technology (FinTech) o Digital payments, payment gateways, core banking systems, open banking, and embedded finance o RegTech, financial crime technologies, AML/KYC systems, and financial risk compliance o Blockchain technologies, distributed ledgers, smart contract development, and decentralised applications (dApps) o Data analytics, business intelligence, and intelligent process automation in financial workflows