Assistant/ Associate Professor

Faculty – School of Management (Assistant/Associate/Professor)

Location: On-Campus | Full-Time| Flexible Work Policy

Join a progressive university focused on academic excellence, industry relevance, and student-centered learning.

Application Process:

Please submit your curriculum vitae and cover letter along with 2 best research papers, expression of interest via email to by the 20th of January 2026.

Role Overview:

We are looking for academically strong and forward-thinking faculty who can integrate technology-enabled learning into management education and contribute to a dynamic, outcome-focused academic environment

Key Responsibilities:

• Teach undergraduate and postgraduate courses using contemporary, learner-centric pedagogy .
• Deliver and design tech-oriented courses in the domain (e.g., HR Analytics, Marketing Analytics, Business Intelligence Tools, Digital Strategy, AI Applications in Business).
• Develop academic content, case studies, experiential and project-based learning modules.
• Actively engage in research, publications, and knowledge dissemination.
• Mentor students for academic progression, internships, and career development.
• Contribute to institutional initiatives, accreditation, and industry-academic collaborations.

Required Qualifications:

• Ph.D. (or thesis submitted) in Management or relevant discipline from national and/or international institution of repute. Ph.D. is must.
• Strong subject knowledge and ability to integrate digital tools and data-driven perspectives in teaching.
• Evidence of teaching effectiveness and/or research output
• Publications in ABDC & Scopus journals.

Preferred Expertise Areas (any):

• Analytics: Excel / Power BI / Tableau / SPSS / R / Python (managerial application)

• Finance : FinTech, Financial Modelling, Data-Driven Decision Making

• Strategy & Operations : Digital Transformation, AI for Managers, Tools, Industry 4.0

• HR & OB : HR Analytics, HR Tech, People Data Insights

• Marketing : Digital Marketing, Marketing Analytics, Consumer Data Insights

What We Offer:

• Flexible working policy supporting work-life balance.
• Collaborative, research-supportive academic culture.
• Opportunities for curriculum innovation and interdisciplinary work.
• Professional development and conference support.
• Sponsored Project/Consultancy/Research Grant desirable for the position of Associate Professor and above.

Please submit your curriculum vitae to by the 15th of February 2026.