Marketing Analytics & Artificial Intelligence Faculty

Role overview

Academic responsibilities

• Contribute to high-quality teaching and impactful research.
• Support curriculum development and the School's broader academic initiatives.

Qualifications

• Applicants must hold a PhD in Marketing, Marketing Analytics, or a closely related discipline.
• The degree must be from a university ranked within the top 500 in the QS World University Rankings.
• Candidates should demonstrate teaching effectiveness, research productivity, and engagement with industry and/or professional communities.
• Publications in reputable Scopus-indexed journals are expected, commensurate with academic rank.
• Relevant professional certifications are preferred.

Expertise and tools

• Expertise includes marketing and consumer analytics, AI and machine learning applications in marketing, and predictive modelling.
• Candidates should demonstrate quantitative and experimental methods, statistical modelling, data visualization, and analysis of structured and unstructured consumer and digital data.
• Python and/or R, and Power BI and/or Tableau, are highly desirable.
• Advanced techniques such as text mining, image analytics, topic modelling, clustering, social-network analysis, machine learning, and BI/data visualization are highly desirable.