Senior Lecturer in Business Data Science

4 dagen geleden


Utrecht, Utrecht, Nederland HKU Voltijd

The Faculty of Business and Economics at HKU invites applications for a Tenure-Track Professor/Associate Professor/Assistant Professor position in Business Analytics. This is an exceptional opportunity to join a world-class institution and contribute to the development of business analytics education and research.

Company Overview

HKU is one of the oldest and most prestigious universities in Asia, with a strong reputation for academic excellence and innovative research. Our faculty members are renowned for their expertise in various fields, including business analytics, finance, and economics.

Salary

We offer a highly competitive salary commensurate with qualifications and experience, which is estimated to be around HKD 550,000 - HKD 700,000 per annum. In addition to annual leave and medical benefits, you will also receive a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary.

Job Description

As a Senior Lecturer in Business Data Science, you will be responsible for teaching courses in business analytics, machine learning, FinTech, and related areas. You will also conduct high-quality scholarly research and contribute to the development of the faculty's research agenda.

Required Skills and Qualifications
  • Ph.D. degree in Information Systems, Operations Management, Statistics, Computer Science, or a closely related data-analytics discipline
  • Experience in teaching Master's or MBA courses desirable for candidates at Associate Professor level
  • High-quality scholarly research in business analytics and related areas
Benefits

We offer a comprehensive range of benefits, including:

  • Annual leave and medical benefits
  • Contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary
  • Housing benefits as applicable
Others

Shortlisted applicants will be invited for an interview at a future conference. Review of applications will start as soon as possible and continue until filled, whichever is earlier. Please apply online and upload your C.V., recent research paper(s), and relevant teaching evaluations.


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