Assistant Professor, Division of Industrial Data Science

Lingnan University 嶺南大學; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Benefits offered by this job

Annual leave

Medical benefits

Dental benefits

Mandatory Provident Fund

Gratuity and passage allowance

Job summary

Lingnan University invites applications for Assistant Professor in the Division of Industrial Data Science. The appointee will teach undergraduate and postgraduate courses and conduct high-quality research in Industrial AI, data science, and related areas.

The role requires a doctoral degree, an outstanding publication record, success in external funding, and a commitment to teaching excellence and cross-disciplinary collaboration. Lingnan University offers competitive remuneration and benefits.

Qualifications

• PhD or equivalent in a relevant field.
• Strong publication record with citation impact.
• Experience in external funding applications.
• Commitment to teaching excellence at undergraduate and postgraduate levels, including curriculum development and student mentorship.
• Ability to foster cross-disciplinary collaborations within the university and with industry and academic networks globally.
• Excellent communication skills with good command of English.

Responsibilities

• Teach at undergraduate and postgraduate levels in related disciplines.
• Conduct high-quality research in Industrial AI, Data Intelligence, Embodied AI, Robotics, and related areas.
• Secure external competitive research funding.
• Undertake research, programme/curriculum development and administration.
• Provide mentorship to junior faculty to achieve teaching, research and service excellence.
• Undertake academic and departmental administrative duties.
• Perform other duties as assigned by the Division or School leadership.

Skills

Excellent communication skills

English proficiency

Education

Doctoral degree or equivalent

Job description

Assistant Professor, Division of Industrial Data Science

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People's Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ .

Applications are now invited for the following posts:

Assistant Professor Division of Industrial Data Science (Post Ref.: 26/265)

Responsibilities

• (1) teach at undergraduate and postgraduate levels in related disciplines;
• (2) conduct high-quality research in cutting-edge areas such as Industrial AI and Data Intelligence, Embodied AI and Robotics, Autonomous and Multi-Agent Systems, Edge Intelligence, Intelligent Sensing and Control, Smart Healthcare, Mobile Computing, Smart Manufacturing, Transportation and Infrastructure;
• (3) secure external competitive research funding;
• (4) undertake research, programme/curriculum development and administration;
• (5) provide mentorship to junior faculty leading to teaching, research and service excellence;
• (6) undertake academic and departmental administrative duties;
• (7) perform any other duties as assigned by the Person in Charge of the Division or the School.

General Requirements

• (i) a doctoral degree or equivalent qualification in relevant fields;
• (ii) a strong publication record and citation impact;
• (iii) experience in external funding applications;
• (iv) demonstrated commitment to excellence in teaching at both undergraduate and postgraduate levels, including curriculum development and student mentorship;
• (v) ability to foster cross-disciplinary collaborations within the institution and build partnerships with industry and academic networks globally;
• (vi) excellent communication skills with good command of English.

Appointment

The conditions of appointment will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee.

Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may normally lead to longer-term appointments with possibility of consideration for substantiation.

Lingnan University is an equal opportunities employer and we are committed to promoting diversity and inclusion in the workplace.

Moreover, the anti-discrimination laws in the Hong Kong Special Administrative Region (namely Sex Discrimination Ordinance, Disability Discrimination Ordinance, Family Status Discrimination Ordinance and Race Discrimination Ordinance) forbid discrimination and victimization in employment on the grounds of sex, marital status, pregnancy, disability, family status, race and the like. It is unlawful to decide against a candidate on the aforesaid grounds.

Enquiries: [e-mail]