Part-time Lecturer(s) (Electronic Engineering and Computer Science) (2025 Spring Term) (S&T)
Job Highlight
Job Description
We are now looking for a suitable person to fill the following position in the School of Science and Technology:
Part-time Lecturer(s) (Electronic Engineering and Computer Science) (2025 Spring Term) (S&T) (Ref: 24002JB)
| Course Code | Course Title |
| COMP 2090SEF | Data Structures, Algorithms and Problem Solving |
| COMP 8090SEF | Data Structures and Algorithms |
| COMP 8650SEF | Design and Analysis of Algorithms |
| COMP 8670SEF | Operating Systems |
| COMP 8920SEF | Introduction to Artificial Intelligence and Machine Learning |
| COMP 8960SEF | Capstone Project |
| STAT 1510SEF | Probability and Distributions |
| STAT 2610SEF | Data Analytics with Applications |
Major Duties and Responsibilities
The appointee will be responsible mainly for the following:
- Providing assistance in the course planning, development, coordination and delivery (including classroom teaching) in related disciplines at both the undergraduate and postgraduate levels;
- Engaging in scholarly activities and student development activities; and
- Participating in School / University activities and administration.
Candidates
Candidate should possess the following qualifications, experience and competence:
- A higher degree in Computer Science, Computer Engineering, Software Engineering, Cybersecurity, Network Engineering, Software Engineering, Electronic Engineering, Data Science or a related discipline;
- Competence in teaching and possesses professional experience;
- Strong communication skills and the ability to use English as the medium of instruction;
- Highly motivated with excellent interpersonal and communication skills; and
- A professional qualification is an advantage.
Terms and Conditions for Appointment
Successful candidate(s) will be appointed on a temporary part-time contract. Benefits will be provided in accordance with the statutory provisions.
Duration of Appointment
Jan 2025 to June 2025
To Apply
Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.
https://hkmu.taleo.net/careersection/ex_non_full_time/jobapply.ftl?lang=en&job=24002JB
Closing date of application: 5 December 2024
The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.
| Job Function | |
| Work Location | Ho Man Tin |
| Education |
Degree
|
| Skills | Interpersonal skills / Communication |
| Spoken Language | Intermediate English |
| Employment Type | Part Time |
| Industry | IT / E-Business |
As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.
HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.
For more information about the University, please visit https://www.hkmu.edu.hk.