
Postdoctoral Associate, Supply Chain Management (SCM)
Massachusetts Institute of Technology
Cambridge, MAFull-time$73–90K/yrSeen 2w agoSeen in employer's feed 2 days ago
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Job overview
The Postdoctoral Associate will support research and teaching activities in the Center for Transportation & Logistics, focusing on digital transformation, machine learning, and data analysis in logistics and supply chain management. Responsibilities include graduate‑level instruction, mentoring capstone projects, developing sponsored projects, publishing research, and assisting with student events and orientations.
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Full job description
Postdoctoral Associate, Supply Chain Management (SCM)
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Job Number: 26094
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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: $73,308
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Pay Range Maximum: $90,000
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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
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.
Job Requirements
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.9/23/2026
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