The primary role of the faculty members at the College of Computing and IT is to promote high-quality innovative teaching, applied research, and services. Besides, he/she should collaborate with the Head of Department, Dean, and the colleagues to achieve the college's mission, mentor junior colleagues, and teaching assistants, and support the department and the college with several administrative and academic services.

Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and System, and IoT Intelligence and Automation, but candidates with strong expertise in other areas of Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All employees are expected to contribute to professional and community life within the university and beyond.

Skills

Academic Rank

Faculty members will be placed in the appropriate rank based on their education and experience. The broad criteria are provided below.

Education

PhD and a master's degrees in data science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.

For Assistant Professor

Experience

• A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.


• A distinguished research record and international reputation evidenced by high quality publications in top tier journals.


• Demonstrated leadership in building engagement and partnerships with the profession and industry.

Preferred Qualifications 

• Professional Certification in Data Science and Artificial Intelligence.


• Diploma in Education (e.g. Post-secondary Education, Adult Education or Vocational Education) is preferred.


• 6+ years of employment experience as a practitioner/professional within the relevant discipline.


• Teaching experience in post-secondary, adult training, or industry training environment.


• Experience in leadership and innovation in technology-based projects.

For Associate Professor

Experience

• A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.


• A distinguished research record and international reputation ev