Supply Chain Optimization and Visualization

Post on 2022 Oct 8th


• A PhD in logistics, management sciences, operations research, business analytics, information systems, supply chain management, engineering, or a related discipline. • In-depth knowledge and proven skills of applied research in optimization methods, including heuristics, iterative methods, algorithms, and machine learning. • For consideration at the level of Research-track Assistant/Associate Professor, candidates must have published in international journals and lead/participated in the acquisition of external funding.

Research Direction
• Optimization and Visualization Simulation of Logistics and Transportation Networks (CIMC Lab or CAVE Lab)

Desirable • Familiarity with analytical methods in supply chain network design (e.g., develop algorithms, heuristics, and analytics)
• Familiarity with data visualization (using Python, JavaScript, Tableau, etc.)
• Teaching experience in database, optimization, or machine learning
• Experience with practice-oriented projects funded by industry partners

Main Duty and Responsibilities:

• Conduct guided and independent research on supply chain optimization and visualization (incl. collaboration with researchers in MIT Global SCALE Network)
• Publish in international journals
• Write research proposals
• Meet with project sponsors
• Support outreach activities
• Teach short courses
• Any other (incl. administrative) duties that may reasonably be assigned by the supervising faculty member.

Please send your CV to or Call +86 (0)574 86008016

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