Lecture (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

*Help University College Sdn Bhd; Petaling Jaya; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading educational institution in Malaysia is seeking a Lecturer in Data Science, Artificial Intelligence, Cybersecurity, or Computer Science. This role involves teaching assigned courses, guiding students in their academic journey, setting assessments, and conducting research. Candidates should have a PhD or Master's degree, at least 3 years of academic experience, and strong interpersonal skills. This institution values diversity and encourages applications from individuals of all backgrounds.

Qualifications

• At least 3 years of working experience as an academic.
• Experience as a programme leader and supervision at Masters/PhD level is an advantage.

Responsibilities

• Lecture/teach assigned courses according to syllabus.
• Assist students in understanding course topics and exam preparation.
• Set and mark assessments for students.
• Conduct research and publish papers.

Skills

Strong communication and interpersonal skills

Strong organizational and time management skills

Knowledge of MQA standards and regulatory requirements

Education

PhD or Master's degree in Data Science, AI, Cybersecurity, or Computing

Tools

Microsoft Office Suite

Job description

Lecture (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

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Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

Reporting to: Dean of School of Information and Communication Technology

Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It’s ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of Talentbank’s Employer’s Choice for Universities 2024 and proudly received the Diversity Hirer Award in the prestigious Life at Work Awards by TalentCorp, further cementing its reputation as a forward‑thinking and inclusive institution.

JOB DESCRIPTION:

• 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 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

JOB REQUIREMENTS:

• A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing.
• At least 3 years working experience as an academic.
• Experience as a programme leader and supervision at Masters and PhD level would be an advantage.
• 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.

At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.