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Assistant/ Associate Professor

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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.


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.
  • 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


  • Entrepreneurship & Innovation : Startup ecosystem insights, Design Thinking, Business Model Innovation, Venture Incubation.


  • 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.


Application Process:

Please submit your curriculum vitae, 2 best research papers, expression of interest to facrec@bmu.edu.in by the 5 th of December 2025.

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