School of Infocomm – Associate Lecturer (Infocomm Technology)

• 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.

• 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