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Massachusetts Institute of Technology

Postdoctoral Associate, Supply Chain Management

Massachusetts Institute of Technology, Cambridge

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Postdoctoral Associate, Supply Chain Management

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    Job Number: 24917

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    Functional Area: Research - Engineering

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    Department: Center for Transportation & Logistics

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    School Area: Engineering

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    Pay Range Minimum: Not Available

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    Pay Range Maximum: Not Available

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    Employment Type: Full-Time

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    Employment Category: Exempt

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    Visa Sponsorship Available: Yes

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    Schedule:

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    Pay Grade: No Grade

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Posting Description

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POSTDOCTORAL ASSOCIATE, SUPPLY CHAIN MANAGEMENT (SCM), Center for Transportation & Logistics (CTL), to support the research and teaching activities related to streamline digital transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential (SCMr) and Supply Chain Management blended (SCMb) options; serve as mentor and thesis/capstone project advisor; support the development and scoping of sponsored projects with corporate partners; publish in leading academic and business-oriented journals; assist with teaching activities; and provide support for student management, events, orientations. CTL conducts research, outreach, and educational activities with a number of companies, organizations, and governments. The MIT Supply Chain Management (SCM) program is CTL’s degree-granting program.

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Job Requirements

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REQUIRED: Ph.D. in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; in-depth research knowledge/experience in one or more of the following: data-driven logistics/supply chain, supply chain analytics, experimental methods, statistical analysis and probability, and/or machine learning/artificial intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation; interest in research, teaching, and other academic activities; and willingness to contribute to the success of the SCM program and CTL’s broader mission. Job #24917

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4/17/2025