jobs in HELP University

全职 Senior Lecturer - AI- Cybersecurity-Data Analytics 工作, 薪水, HELP University Federal Territory 公司招聘中 - Ricebowl

Senior Lecturer - AI- Cybersecurity-Data Analytics

KL City, Federal Territory

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工作地点

  • Jalan Ampang Hilir 1 Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

Salary : RM8,000 - RM10,000


Job Description:

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 Artificial Intelligence, Data Science,Cybersecurity


2. Experience

  • Preferably candidates with specialisation or knowledge in AI, Cybersecurity 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.


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