Senior Lecturer in AI/ Cybersecurity/Data Analytics

Salary: RM8,000 - RM10,000 (Based on experience)

MAIN DUTIES AND RESPONSIBILITIES:

• To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students assignment requirements.
• To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
• To guide students in the understanding of assignment requirements.
• To answer student queries on academic matters relating to the unit promptly.
• To set and mark assessments (quiz, test, assignments, examinations) for students.
• To invigilate examinations.
• To develop and update course materials as required.
• To attend staff meetings as deemed necessary by the Head of the Department.
• To give students regular guidance to assist the progress of their academic achievement.
• To counsel students on appropriate career/academic direction on completion of their course.
• To counsel at exhibition fairs which HELP participates.
• To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference
• To undertake related administrative duties including course and programme leadership, and in committees, as required by the faculty and university.

PREFERRED QUALIFICATION, EXPERIENCE AND JOB COMPETENCIES

1. Minimum Academic Qualification

• Candidates must possess a PhD degree in Data Science, Artificial Intelligence, Cybersecurity

2. Experience

• Preferably candidates with specialisation or knowledge in Cybersecurity, AI, or Data analytics
• At least 5 years working experience as an academic.
• Experience as a programme leader and supervision at Masters and PhD level would be an advantage.

3. Areas of Specialisation:

• Machine Learning
• Deep Learning
• Generative AI & Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Computer Vision
• Data Science & Analytics
• AI Ethics, Governance & Responsible AI
• Reinforcement Learning
• AI Application in Industry 4.0
• Robotics & Intelligent Systems

4. Core Competencies

• Strong communication and interpersonal skills.
• Strong organizational and time management skills.
• Knowledge of MQA standards and regulatory requirements.
• Proficient in Microsoft Office Suite and others.