Assistant Professor (Operations & Data Science) - PDSE - Mumbai

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Mumbai

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Pravin Dalal School of Entrepreneurship & Family Business Management at NMIMS Mumbai invites applications for Professor or Associate Professor in management. The role requires a PhD, extensive teaching/industry/research experience, and a strong publication record.

Pay scales follow UGC guidelines, with compensation not a constraint for the right candidate. Candidates should have demonstrated excellence in operations management or business analytics, and be prepared to contribute to research,

Qualifications

  • Ph.D. with Master’s Degree in Management / Administration / relevant discipline.
  • Minimum 10 years of teaching / industry / research / professional experience, of which at least 5 years must be at Reader / Associate Professor level.
  • For qualified professionals, national/international repute with 12 years’ managerial experience, and 8+ years at senior level.
  • Minimum 10 research publications in peer‑reviewed or UGListed journals, or equivalent Books/Patents/Ph.D. guidance.

Skills

Operations Management
Business Analytics
Academic Leadership
Curriculum Development

Education

Ph.D. in Management / Administration / relevant discipline
Master’s Degree in Management / Administration / relevant discipline

Job description

Pravin Dalal School of Entrepreneurship & Family Business Management - (PDSE&FBM), NMIMS Mumbai

Specialization Areas (Mandatory Requirement)

Candidates are expected to possess demonstrated expertise through teaching, research, or industry practice in one or more of the following domains

1) Operations Management: Supply Chain Management, Service Operations, Sustainable Operations, Operations Strategy, Quality Management, and emerging areas such as Digital Supply Chains and Industry 4.0

2) Business Analytics: Data Visualization, Predictive Analytics, Machine Learning Applications in Business, Big Data Analytics, and Decision Science

Qualifying Criteria :

Professor

  • Ph.D. with Master’s Degree in Management / Administration / relevant discipline
  • Minimum 10 years of teaching / industry / research / professional experience, of which at least 5 years must be at the level of Reader / Associate Professor or equivalent

OR

  • Professional work experience of significant repute, recognized at national / international level as equivalent to Ph.D., with 12 years’ managerial experience in industry / profession, of which at least 8 years should be comparable to Reader / Associate Professor

AND

  • Published work of high quality, with a minimum of 10 research publications in peer-reviewed or UGC-listed journals. Published work may also include Books, Research Periodicals, Ph.D. guidance, Consultancy Projects, or Patents

Associate Professor

  • Ph.D. with Master’s Degree in Management / Administration / relevant discipline
  • Minimum 8 years of teaching / industry / research / professional experience at managerial

level

OR

  • Professional work experience of significant repute, recognized at national / international level as equivalent to Ph.D., with 10 years’ managerial experience in industry / profession, of which at least 5 years should be comparable to Lecturer / Assistant Professor

AND

  • At least 7 publications in peer-reviewed or UGC-listed journals. Published work may also include Books, Research Periodicals, Ph.D. guidance, Consultancy Projects, or Patents
  • Ph.D. with First Class Master’s Degree in Business Management / Administration / or relevant discipline.
  • At least two research papers published from Ph.D. work (minimum one in a refereed journal)
  • At least two papers presented based on Ph.D. work in conferences/seminars sponsored/funded/supported by UGC/ICSSR/CSIR or similar agencies
  • Published work may also include Books, Research Periodicals, Ph.D. guidance, Consultancy Projects, or Patents

Pay Scales: As per UGC guidelines; however, compensation will not be a constraint for the right candidate.

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