Project Associate

Research Areas / Technical Skills

Candidates should have knowledge or experience in three or more of the following:

• Supply Chain Management and Logistics
• Reverse Logistics / Sustainable Supply Chains
• Warehouse Management and Operations
• Operations Research and Optimization
• Data Analytics and Problem Solving
• Artificial Intelligence / Machine Learning
• Digital Twin / Simulation
• Python or other data analytics tools

Key Responsibilities

Conduct research and analysis related to supply chain and logistics projects.

• Support data collection, analysis, modelling and optimization activities.
• Develop analytical models and research-based solutions.
• Conduct literature reviews and document research findings.
• Prepare technical reports and project deliverables.
• Work closely with faculty, researchers and industry stakeholders.
• Support project implementation, experimentation and validation.

Desirable

Prior project, research, internship or industry experience in Supply Chain, Logistics, Warehousing, AI, Data Analytics or related areas.

• Basic knowledge of Python, optimization, simulation or data analytics tools.
• Strong analytical and problem-solving skills.
• Good communication and documentation skills.

Preferred candidate profile

Qualification

• 4-year UG / Any Non- Engineering PG
• Masters degree in supply chain management, Logistics, Industrial Engineering, Operations Research, Computer Science, Data Science, Management, or a closely related discipline

Experience:

Relevant experience preferred; fresh Masters graduates may also be considered based on skills and academic/project experience.

The last date for submission of online application is 05.10.2026.

Salary:

40,000 to 60,000 per month, based on qualifications and experience