Lecturer (Artificial intelligence / Cyber Security / Electronic & Computer Engineering) (Ref.: 20003

Established by the Hong Kong Government in 1989, The Open University of Hong Kong today is the largest self-financing university in Hong Kong and has developed into a dynamic, innovative, full-fledged university comprising 6 Schools.

The University has been offering full-time programmes since 2001 and joined the Joint University Programmes Admission System (JUPAS) since 2007.  Currently, the University offers about 200 programmes of studies with around 10,000 full-time undergraduates and 1,000 postgraduates, and more than 8,000 part-time students in its 5 Schools namely School of Arts and Social Sciences, Lee Shau Kee School of Business and Administration, School of Education and Languages, School of Nursing and Health Studies and School of Science and Technology.  In addition, there are more than 2,000 full-time and 2,000 part-time students studying in Li Ka Shing School of Professional and Continuing Education (LiPACE).

The University strives to provide high quality and flexible university education at various levels, and to excel as a provider of higher education. Our full-time programmes for qualified secondary school leavers are on par with other established universities across Hong Kong. We are committed to advancing learning, knowledge, and research that meet students’ learning aspirations and society’s talent needs, focusing on practical and professional programmes. As a multi-mode university, we use innovative teaching and the latest education technology to offer world class education, guided by our core values of fairness, integrity, perseverance, and innovation.

We are now inviting application(s) for the following post in the School of Science & Technology:

Lecturer (Artificial intelligence / Cyber Security / Electronic & Computer Engineering) (Ref.: 20003XJ)

Major Duties and Responsibilities

The appointee shall mainly be responsible for the following:

• Providing assistance in the course planning, development, coordination and delivery (including classroom teaching) in related disciplines;
• Engaging in scholarly and student development activities; and
• Participating in School / University activities and administration.

Requirements 

Applicants are expected to possess the following qualifications, experience and attributes:

• A higher degree, preferably a doctorate degree, in Information Engineering, Computer Engineering, Electronic Engineering, Computer Science, or a related discipline;
• Relevant teaching experience in the areas of Deep Learning, Data Mining and Cloud Computing; or in the areas of Network Security, Digital Forensics and Blockchain; or in the areas of Electronic Engineering, Information Engineering, and Computer Science;
• Strong communication skills and the ability to use English as the medium of instruction;
• Highly motivated with excellent interpersonal, communication, and team working skills; and
• A record of publication and research funding will be an advantage.

Compensation Package

Competitive compensation package including basic salary, end-of-contract gratuity and discretionary incentive (if any) will be offered to the right candidate.  Fringe benefits such as generous annual leave, staff learning and development sponsorship, medical & dental benefits and life insurance coverage will also be provided.

Application Procedures 

Application should be made online through the University’s eRecruitment System.

https://ouhk.taleo.net/careersection/ex_full_time/jobapply.ftl?lang=en&job=20003XJ

Deadline: 20 December 2020

General information about the University is available on the University’s website http://www.ouhk.edu.hk.  Personal data provided by job applicants will be handled strictly in accordance with the University’s Personal Data Privacy Policy.  The “Personal Data (Privacy) Notice for Job Applicant” is also available on the above website.  Applicants who are not contacted by the University within eight weeks from the closing date may assume that their applications are unsuccessful.