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**Job Description**
The Department of Philosophy at Lingnan University is seeking a Research Assistant Professor specializing in ethics, particularly population axiology, the ethics of technology, and related philosophical problems. The role primarily involves conducting research, publishing in leading international journals, securing competitive grants, and actively participating in the department’s research community, including initiatives linked to the new Philosophy and AI Programme and the Hong Kong Catastrophic Risk Centre. Responsibilities also include teaching three courses annually at both undergraduate and postgraduate levels, supervising student projects, and fulfilling administrative duties.

**Skills & Abilities**
• Expertise in ethics (especially in relation to population axiology, the ethics of technology, and related philosophical problems).
• Record of publications in Philosophy, preferably in leading journals.
• Demonstrated capacity to obtain governmental grants.
• Teaching experience at both undergraduate and taught master’s programme levels (definite advantage).
• Recipient of external grants (e.g., from a government body) (definite advantage).

**Qualifications**
Required Degree(s) in:
• Philosophy
• Related disciplines

**Experience**
Other:
• Obtained/been conferred a PhD degree or an equivalent qualification no more than five years prior to the commencement of the appointment.

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Experience
Other: • Obtained/been conferred a PhD degree or an equivalent qualification no more than five years prior to the commencement of the appointment.
Work Level
Ph.D
Employment Type
Research Job
Salary
Annual Salary: Commensurate with qualifications and experience Benefits: Annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee.
Details
Temporary Duration: 3 years Remote Work: No Location Requirement: Campus-based
School / Department / Center / Lab
• Department of Philosophy • Lingnan University Institute for Advanced Study (LUIAS) • School of Data Science • Hong Kong Catastrophic Risk Centre (HKCRC)
Supervisor(s)
Professor Andrea Sauchelli
Supervisor Email
sauchelli@LN.edu.hk
Lingnan University
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