Marketing Analytics and AI Faculty (Assistant/Associate Professor)

About the role

Canadian University Dubai (CUD) is looking for Assistant Professors and Associate Professors in Marketing Analytics and Artificial Intelligence to join the School of Management from the Spring Semester 2026-2027. Successful candidates will teach, research, develop the curriculum and take part in the school's academic initiatives, with expertise in marketing and consumer analytics, artificial intelligence, machine learning, predictive modelling and data-driven marketing.

Key responsibilities

• Serve as subject matter experts and support the Program Chair or Coordinator in academic operations and curriculum alignment.
• Teach undergraduate and graduate courses, keeping content current and assessments timely.
• Maintain student records, hold office hours, advise students and recommend learning resources.
• Supervise independent studies, projects, internships, graduation projects and postgraduate research.
• Contribute to curriculum evaluation, course development and program improvement.
• Carry out research, publish in peer-reviewed journals and engage with industry and professional communities.
• Take part in faculty meetings, accreditation processes and the School of Management's accreditation activities.
• Support administrative work such as student advising, registration and orientation, and represent the university at conferences and events.

Required profile

• PhD in Marketing, Marketing Analytics or a closely related discipline from a university in the top 500 of the QS World University Rankings.
• Strong record of teaching effectiveness, research productivity and engagement with industry or professional communities; publications in Scopus-indexed journals expected.
• University-level teaching experience appropriate to the rank applied for, with curriculum development, student supervision and academic service.
• Associate Professor applicants should show undergraduate and graduate teaching and postgraduate supervision experience.
• Experience with curriculum development, graduation project supervision and familiarity with AACSB accreditation is advantageous.

Required skills

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

What we offer

• Tax-free salary, generous annual leave, housing and transportation allowances, furniture allowance where applicable.
• Annual flights for self, spouse and dependents, children's education allowance, family visa support and joining and repatriation benefits.
• International health insurance, life insurance, in-house visa and relocation support, and professional development opportunities.
• Research and innovation funding support and full access to campus facilities.