Research Assistant Supply Chain Management & Analytics

MacroEdtech is looking for Five Research Assistants for a 2-month research project focused on developing academic research papers in Supply Chain Management, Operations Management, Industrial Engineering and Business Analytics.

Who Can Apply

• MBA / M.Tech / M.E. / equivalent Master's students or graduates
• Specialization/background in:
• Supply Chain Management
• Operations Management
• Industrial Engineering
• Production & Operations
• Logistics & Transportation
• Business Analytics
• Operations Research

Research Areas

Candidates will work on research problems related to:

• Supply Chain Management & Analytics
• Logistics and Transportation
• Inventory & Procurement
• Supply Chain Planning and Decision-Making
• Operations Management
• Mathematical & Optimization Models
• Stochastic Models for Operations and Supply Chains
• Simulation & Decision Analysis
• Supply Chain Risk & Resilience
• Data-driven Supply Chain Analytics
• Machine Learning applications in Supply Chain
• Forecasting and Predictive Analytics
• Sustainable & Digital Supply Chains

Skills Required

• Strong understanding of Supply Chain / Operations concepts
• Research paper reading and literature review
• Ability to identify research gaps and formulate research questions
• Quantitative and analytical thinking
• Basic knowledge of Statistics and/or Econometrics
• Familiarity with optimization, mathematical modelling, simulation or operations research is an advantage
• Knowledge of Python, R, Excel, MATLAB or similar analytical tools is desirable
• Academic writing and referencing skills
• Ability to work independently and systematically on a research problem

What You Will Work On

During the 2-month project, selected candidates will contribute to:

1. Literature review and systematic identification of research gaps
2. Research problem formulation
3. Development of conceptual/research frameworks
4. Data collection and analysis where applicable
5. Quantitative modelling / analytics
6. Preparation of research findings
7. Academic research paper development

Ideal Candidate

This opportunity is particularly suitable for students or graduates who are interested in research careers, PhD programs, academic research, consulting, supply chain analytics or operations research.

Positions: 5

Duration: 2 Months

Mode: Remote Research Work

Domain: Supply Chain Management & Analytics

Organization: MacroEdtech

The research orientation is inspired by academic approaches in Supply Chain Management & Analytics, including the research framework and methodological areas covered by the University of Nebraska–Lincoln's Ph.D. program in Supply Chain Management and Analytics.

Reference: University of Nebraska–Lincoln – Ph.D. in Supply Chain Management & Analytics

How to Apply

Send your CV/Resume to:

[HIDDEN TEXT]

Subject: Application – Supply Chain Research Assistant

Please mention your academic background, research interests, relevant technical skills and any previous research/project experience in your email.