SENIOR LECTURERS/LECTURERS – CLOUD COMPUTING / DATA ANALYTICS
UNITAR International University – Petaling
This is an academic position in Computing, Computer Science, Information Technology, Data Science, Data Analytics, or Cloud Computing. The role involves delivering high-quality teaching, conducting research, and contributing to the development of the Faculty/School.
Key responsibilities
- Deliver high-quality lectures, tutorials, practical sessions and assessments
- Develop and enhance teaching materials, course content and assessments
- Supervise Final Year Projects, postgraduate students and research activities
- Conduct research and publish in reputable/indexed journals and conferences
- Participate in research grants, consultancy and industry-academic collaborations
- Contribute to curriculum development, programme review and MQA/accreditation requirements
- Engage with industry partners to enhance students' learning and employability
- Participate in academic committees, student activities and university events
- Contribute to the overall development of the Faculty/School and undertake other academic duties as assigned
About you
- PhD in Computing, Computer Science, Information Technology, Data Science, Data Analytics, Cloud Computing or a closely related discipline
- Relevant teaching experience in higher education is preferred
- Strong academic/research profile with publications is an advantage
- Experience in research grants, industry collaboration or professional engagement is an advantage
- Good communication, teaching and interpersonal skills
- Passionate about developing students and contributing to academic excellence
- Expertise in Cloud Computing & Cloud Architecture, AWS / Microsoft Azure / Google Cloud, Cloud Infrastructure & Virtualisation, DevOps & Containerisation, Distributed Systems, Cloud Security, Edge Computing / Internet of Things, or Cloud-based Application Development
- Expertise in Data Analytics & Data Science, Data Mining, Business Intelligence, Data Visualisation, Statistics / Predictive Analytics, Machine Learning, Big Data Analytics, Python / R / SQL, or AI and Analytics Applications