IT Lecturer (Full Time)

Penang Skills Development Centre; Kuala Lumpur; On-site; MYR 70,000 - 100,000; Full time

Job summary

The Penang Skills Development Centre is looking for a Full-Time IT Lecturer responsible for delivering high-quality education in Information Technology and Mathematics, emphasizing Artificial Intelligence (AI), programming, and data-driven technologies.

This position includes curriculum development, teaching various programming languages, and supporting student learning.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 3-5 years teaching or industry experience in IT or programming.
• Experience with AI, data science, or database-related projects.

Responsibilities

• Deliver high-quality lectures and practical sessions.
• Integrate AI and data analytics into learning.
• Provide academic mentorship and support to students.

Skills

Programming

AI fundamentals

Data analytics

Statistical knowledge

Strong communication

Education

Bachelor’s Degree in Computer Science or related field

Master’s Degree in a relevant discipline

Tools

Python

C++

Java

Database Management Systems

Job description

The Full-Time IT Lecturer is responsible for delivering high-quality teaching in Information Technology and Mathematics subjects, with a strong emphasis on Artificial Intelligence (AI), data-driven technologies, and programming. The lecturer will contribute to curriculum development, student learning, and academic excellence while supporting the School of Engineering’s initiatives in AI adoption and digital transformation.

This role is expected to teach and integrate cross-disciplinary subjects, including:

• Database Management
• Introduction to Artificial Intelligence
• Statistics
• Programming (Python, C, C++, Java)

The lecturer is also expected to play an active role in driving AI and digitalisation initiatives within the department.

1. Teaching and Instruction

• Deliver lectures, tutorials, and practical sessions for IT and Mathematics subjects
• Teach programming courses using Python, C, C++, and Java, including hands‑on lab exercises
• Deliver AI‑related modules such as Introduction to AI and Data Science with practical applications
• Teach mathematical concepts such as Discrete Mathematics and Statistics with relevance to computing and engineering
• Prepare lesson plans, teaching materials, and learning resources aligned with programme outcomes
• Apply Outcome‑Based Education (OBE) principles in teaching delivery and assessment
• Integrate real‑world applications, especially in AI, automation, and data analytics

2. Academic Support

• Provide academic consultation and mentorship to students
• Support students in projects, assignments, and research related to AI, programming, and data analytics
• Encourage student innovation, problem‑solving, and independent learning
• Foster an engaging, inclusive, and collaborative learning environment

3. Assessment and Evaluation

• Design, administer, and evaluate assessments such as assignments, quizzes, projects, and examinations
• Ensure assessment methods align with Course Learning Outcomes (CLOs)
• Provide timely and constructive feedback to improve student performance
• Maintain accurate records of student progress and academic results

4. Professional Development

• Stay updated with latest developments in AI, data science, programming, and digital technologies
• Participate in academic training, certification, and professional development activities
• Contribute to curriculum review, accreditation (e.g. MQA), and quality assurance processes

5. Administrative Duties

• Attend departmental meetings and contribute to the planning and development of the Diploma in IT program
• Involve in student recruitment

Requirements

Education:

• Bachelor’s Degree in Computer Science, Information Technology, Data Science, or a related field
• Master’s Degree in a relevant discipline is preferred

Experience:

• Minimum 3–5 years of teaching and/or industry experience in IT, programming, or AI‑related fields
• Experience in teaching programming languages such as Python, C, C++, or Java
• Experience in AI, data science, or database‑related projects is highly desirable
• Familiarity with Outcome‑Based Education (OBE) and academic quality standards (e.g. MQA) is an advantage

Skills:

• Strong knowledge in programming, database systems, AI fundamentals, and data analytics
• Ability to teach both technical IT subjects and related mathematical concepts
• Strong communication and presentation skills
• Proficiency in using digital teaching tools, LMS, and coding platforms
• Strong analytical, problem‑solving, and organisational skills
• Ability to lead or support AI and digital innovation initiatives

Personal Attributes:

• Strong passion for education, technology, and AI advancement
• Innovative mindset with interest in digital transformation and emerging technologies
• Self‑motivated, proactive, and adaptable
• Professional and able to work collaboratively with academic and industry stakeholders
• Committed to continuous learning and development