School of Infocomm - Associate Lecturer (Infocomm Technology)

sggovterp

Singapore

Sur place

SGD 60 000 - 90 000

Plein temps

Il y a 3 jours
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Résumé du poste

sggovterp is seeking Associate Lecturers to deliver diploma programmes and CET courses across Cybersecurity, Cloud-Native Infrastructure, AI/ML, Software Development, and FinTech. You will contribute to curriculum, assess students, and bring current industry practices into classroom discussions.

The role requires a passion for education, strong communication, and mentoring skills, with at least two years of professional experience in relevant technology areas.

Qualifications

  • Requires a relevant degree in Computer Science, Information Technology, Cybersecurity, Data Science/AI, Software Engineering, FinTech, Computer Engineering or related disciplines.
  • Minimum 2 years of relevant professional industry experience in your area of technical expertise.
  • Demonstrated passion for nurturing, mentoring and engaging youth and adult learners; strong communication and interpersonal skills.

Responsabilités

  • Module Delivery & Facilitation: Conduct classes, labs, and workshops in polytechnic learning methods to meet learning outcomes.
  • Assessment & Evaluation: Administer and grade assessments, labs, quizzes, and project deliverables with constructive feedback.
  • Curriculum & Instructional Support: Prepare and adapt classroom activities and learning resources reflecting real-world industry practices.
  • Industry Currency: Bring current industry practices, emerging tools, and ethical perspectives into discussions.

Connaissances

Communication skills
Mentoring
Interpersonal skills

Formation

Relevant degree in Computer Science / IT / Cybersecurity / Data Science / Software Eng

Outils

Python
Docker
Kubernetes

Description du poste

What the role is

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.

What you will be working on
  • 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.
What we are looking for
  • 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
    • Penetration Testing / Red Teaming, Vulnerability Assessment
    • SOC Operations, SIEM, Firewall & Network Security Configuration
    • Cloud Security, Web Application Security, Secure Coding
    • Digital Forensics, Incident Response, Malware Analysis
    • IT Audit, Governance, Risk & Compliance (GRC), Personal Data Protection
    • Relevant certifications (e.g., CISSP, CISA, CISM, CEH, OSCP) are an advantage.
  2. Cloud-Native Infrastructure & DevOps
    • Scripting and automation using Python, Bash, or PowerShell
    • CI/CD pipelines, DevOps workflows, and Infrastructure as Code (e.g., Ansible, Terraform)
    • Containerisation and Orchestration (Docker, Kubernetes)
    • Public/Private Cloud administration (AWS, Azure, Google Cloud, VMware, OpenStack)
    • Enterprise networking, server administration (Linux/Windows), and APM/monitoring (Splunk, ELK Stack)
    • Relevant certifications (e.g., AWS, Azure, RHCSA, CCNA, CKA) are an advantage.
  3. Artificial Intelligence & Machine Learning
    • Machine Learning, Deep Learning, Generative AI, Agentic AI, and NLP/Computer Vision
    • ML frameworks and libraries (PyTorch, TensorFlow, Keras, Scikit-learn) and Python programming
    • Data engineering, data preprocessing, feature engineering, and cloud AI deployment pipelines
    • Foundational mathematics for AI (statistics, probability, linear algebra) and awareness of AI ethics/bias
    • Relevant cloud AI certifications (Azure AI, AWS Certified Machine Learning, Google Cloud AI) are an advantage.
  4. Software & Full-Stack Development
    • Modern programming languages and frameworks (Python, JavaScript/TypeScript, ES6+, Java/Spring, Node.js, C++)
    • Front-end and back-end web development, RESTful APIs, and UI/UX design integration
    • Native or cross-platform mobile application development (e.g., Flutter, React Native)
    • Software testing (unit, integration, end-to-end), version control (Git), and containerised application deployment via CI/CD
  5. Financial Technology (FinTech)
    • Digital payments, payment gateways, core banking systems, open banking, and embedded finance
    • RegTech, financial crime technologies, AML/KYC systems, and financial risk compliance
    • Blockchain technologies, distributed ledgers, smart contract development, and decentralised applications (dApps)
    • Data analytics, business intelligence, and intelligent process automation in financial workflows
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