Associate Professor/Professor in Operational Management & Quality with PhD Supervision Experience

The successful candidate will drive academic and research excellence through:

• Teaching: Delivering graduate-level courses in:
  • Quantitative Research Methods and Statistics
  • Service Quality and Excellence
  • Implementation and Applications of Quality Management
  • Seminar in Quality Management
    
• Curriculum Development: Updating course content to reflect trends such as AI-driven operations, and Quality Management among others.
• Research: Publishing in high-impact journals (Scopus/WoS-indexed) and show ability to obtain research funding
• Mentorship: Supervising PhD candidates through all stages of dissertation work.
• Service: Contribute to program accreditation efforts, fostering industry partnerships, and enhancing program visibility through academic and professional networks.

• Education: PhD in Operational Management, Quality Management, or a related field from an AACSB-accredited institution.
• Teaching Expertise: Proven experience teaching the specified courses (Quantitative Research Methods and Statistics, Service Quality and Excellence, Implementation and Applications of Quality Management, Seminar in Quality Management) at the graduate level. Experience with online/hybrid instruction is preferred.
• Research Excellence: Strong record publication record.
• PhD Supervision: Demonstrated success in guiding doctoral dissertations, particularly in operational or quality management topics.

Rank and Appointment Criteria

• Associate Professor: Minimum 5 years of post-PhD academic experience, with evidence of teaching excellence, impactful research, and PhD mentorship.
• Full Professor: Minimum 10 years of experience, distinguished leadership in research (e.g., major grants, editorial roles), and a sustained record of doctoral supervision.

About the PhD Program

The PhD in Quality Management prepares scholars to address national and global challenges through a dual focus on operational efficiency and quality excellence. Graduates lead in academia, industry, and consulting roles, equipped with expertise in AI, data analytics, systems design, and sustainable practices.