Postdoctoral Associate, Supply Chain Management

Massachusetts Institute of Technology (MIT); Cambridge (MA); On-site; USD 50,000 - 70,000; Full time

Job summary

A leading academic institution seeks a Postdoctoral Associate in Supply Chain Management to advance its research and teaching missions. The role involves mentoring students, conducting data-driven research, and contributing to academic publications, primarily in machine learning and supply chain analytics.

Qualifications

• Ph.D. in supply chain management, logistics, or related fields.
• In-depth research knowledge in data-driven logistics and machine learning.
• Willingness to contribute to teaching and research activities.

Responsibilities

• Support graduate-level teaching and mentoring.
• Conduct research and publish in academic journals.
• Assist in developing projects with corporate partners.

Skills

Research in supply chain analytics

Machine learning

Statistical analysis

Excellent communication skills

Coding proficiency in Python

Education

Ph.D. in supply chain management or related field

Job 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.

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

4/17/2025