Chair Professor/Professor/Associate Professor/Assistant Professor
City University of Hong Kong (CityU) is one of the world’s leading universities, known for innovation, creativity and research. We are now seeking exceptional scholars to join us as Assistant Professors/Associate Professors/Professors/Chair Professors (on substantiation-track) in all academic fields with special focuses on One Health, Digital Society, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to:
- biomedical science and engineering
- computer science and data science
- neuroscience and neural engineering
- bio-statistics and AI-healthcare
- smart/semi-conductor manufacturing
- AI/robotics/autonomous systems
- aerospace and microelectronics engineering
- energy generation and storage
- digital business and innovation management
- fintech and business analytics
- computational social sciences
- digital humanities
- digital and new media
- law and technology
- private law
- healthy, smart and sustainable cities
Successful candidates should have a demonstrated ability to build a world-class research programme related to CityU’s strategic research areas, plus a commitment to education and student mentorship. Candidates must possess a doctorate in their respective field by the time of appointment.
Applications and nominations are invited for the above posts:
The Department of Advanced Design and Systems Engineering (ADSE) aspires to be a centre of excellence in research and education in intelligent manufacturing and systems engineering. According to a recent study by Stanford University, six of our faculty members were among the top 2% of most highly-cited scientists of the world, reflecting the high academic standard of our faculty and our excellent research performance.
ADSE is looking for talents in all areas related to smart manufacturing and systems engineering, including semiconductor manufacturing, digital manufacturing, 3D/4D additive manufacturing, industrial internet of things, cyber-physical systems, automation/robotics, operations research, stochastic optimization, reliability and quality, and related disciplines. We are particularly interested in individuals who develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing systems.Duties
Teach undergraduate and postgraduate courses, supervise students and undertake scholarly activities (including course development/revamping). The appointees will also be assigned to take up administrative duties to facilitate the development of the Department, the College and the University.Requirements
A PhD in smart manufacturing, systems engineering or related areas with an excellent research record and strong teaching ability. Good academic credentials and excellent communication skills are required.Salary and Conditions of Service
Remuneration package will be driven by market competitiveness and individual performance. Excellent fringe benefits include gratuity, leave, medical and dental schemes, and relocation assistance (where applicable). Initial appointment will be made on a fixed-term contract.Information and Application
Further information on the posts and the University is available at http://www.cityu.edu.hk, or from the Department of Advanced Design and Systems Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong (email : firstname.lastname@example.org).
City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes.
Worldwide recognition ranking #48, and #4 among top 50 universities under age 50 (QS survey 2021); #1 in the World’s Most International Universities (THE survey 2020); #1 in Engineering/Technology/Computer Sciences in Hong Kong (ARWU survey 2016); and #1 Business School in Asia-Pacific region (UT Dallas survey 2019).
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