Associate Professor - School Of Logistics & Supply Chain Management

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
7-12 years
Indore, Madhya Pradesh
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 8 Nov 2026

Posted: 1 month ago
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Job Description

Associate Professor – Logistics & Supply Chain Management

Educational Qualification

Must have PG in Logistics & Supply Chain Management / Supply Chain Management / Logistics / Operations Management / relevant field. PhD Preferable.

Total Years of Experience

7 to 10+ Years of Experience in academics and/or industry, preferably with relevant experience in Logistics & Supply Chain Management.

Roles & Responsibilities

  1. Your tour of duty shall be as per the scheduled time table planned by the Director.
  2. Conduct lectures as per the scheduled workload and teaching plan and ensure successful completion of the same.
  3. Contribute to syllabus enrichment in line with current industry trends, emerging technologies, statutory requirements, and developments in Logistics & Supply Chain Management.
  4. Carry out examination duties and ensure timely assessment of projects, assignments, internal assessments, and examinations.
  5. Deliver lectures and practical sessions to develop students conceptual knowledge and practical skills in logistics and supply chain management.
  6. Coordinate and contribute to logistics and supply chain-related lab activities, simulations, software-based learning, and development of practical learning modules.
  7. Contribute to academic administration activities, admissions, internships, placements, industry projects, and other institutional activities.
  8. Participate in industry training, industrial visits, field projects, and other activities to enhance practical knowledge and industry exposure.
  9. Enhance professional and academic skills by attending seminars, conferences, workshops, training programmes, and industry development programmes.
  10. Develop and maintain strong industry networks for student skill development, internships, placements, live projects, guest lectures, industrial visits, and industry-academic collaborations.
  11. Provide academic support and act as a mentor to students, guiding them in academic development, career planning, project work, and enhancement of soft skills.
  12. Actively participate in examination duties, evaluation of papers, project evaluation, moderation, and timely submission of results.
  13. Contribute to research and academic publications through journals, books, book chapters, articles, case studies, and conference papers.
  14. Undertake and contribute to sponsored research projects, consultancy assignments, industry projects, and innovative academic initiatives using contemporary teaching methods, analytical tools, and relevant software.

Technical Skillsets Required

  • Strong knowledge of Logistics & Supply Chain Management and related functional areas.
  • Good understanding of contemporary supply chain trends, logistics networks, transportation, warehousing, distribution, and supply chain technologies.
  • Hands-on academic and/or industry experience in Logistics & Supply Chain Management.
  • Knowledge of procurement, inventory management, demand forecasting, supply chain planning, transportation management, warehouse management, distribution management, and supplier relationship management is desirable.
  • Understanding of emerging areas such as digital supply chains, e-commerce logistics, last-mile delivery, supply chain analytics, sustainability, and Industry 4.0 technologies.
  • Strong teaching, presentation, and classroom management skills.
  • Excellent verbal and written communication skills.
  • Ability to develop and deliver practical, application-oriented, and skill-based learning modules.
  • Proficiency in relevant digital tools, supply chain software, analytics tools, ERP systems, and technology-enabled teaching methods.
  • Knowledge of data analytics and quantitative techniques relevant to logistics and supply chain decision-making.

Skills

Data AnalyticsErpAnalytics

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