AI-Driven Statistics Professor (Joint Appointment)

Meyer Entsorgung; Hong Kong; On-site; HKD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Annual leave

Medical benefits

Housing benefits

Job summary

The Chronicle Of Higher Education, Inc. invites applications for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics at HKU Business School and the School of Computing and Data Science. The position offers a competitive salary and benefits, focusing on research and teaching in statistics and AI.

Applicants should hold a Ph.D. in a relevant field and demonstrate a strong research and teaching commitment. Applications will be accepted until June 30, 2027.

Qualifications

• Demonstrate a robust research record in statistics and/or machine learning.
• Show evidence of cross-disciplinary research bridging statistics, AI and business.
• Exhibit a strong commitment to excellence in research and teaching.
• For higher levels, have an international reputation and academic leadership.

Responsibilities

• Develop and maintain a high-quality research agenda with AI and data science components.
• Publish in leading journals and present at international conferences.
• Secure external competitive research funding.
• Contribute to teaching at undergraduate and postgraduate levels in relevant areas.
• Supervise research postgraduate students.
• Undertake service and administrative duties.

Skills

Research in statistics and machine learning

Cross-disciplinary research

Teaching experience

Education

Ph.D. in Statistics, Data Science, Computer Science, Econometrics or related field

Job description

The Chronicle Of Higher Education, Inc. invites applications for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics at HKU Business School and the School of Computing and Data Science. The position offers a competitive salary and benefits, focusing on research and teaching in statistics and AI.

Applicants should hold a Ph.D. in a relevant field and demonstrate a strong research and teaching commitment. Applications will be accepted until June 30, 2027.