Postdoctoral Associate, Low Income Firms Transformation (LIFT) Lab

Job title:

Postdoctoral Associate, Low Income Firms Transformation (LIFT) Lab

Company

Massachusetts Institute of Technology

Job description

Working at MIT offers opportunities that just aren’t found anywhere else, including generous and unique benefits that help to ensure that MIT employees are healthy, supported, and enjoy a fulfilling work/life balance.We welcome people from all walks of life to bring their talent, ideas, and experience to our community. We value diversity and strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.Postdoctoral Associate, Low Income Firms Transformation (LIFT) Lab

• Job Number: 24524
• Functional Area: Research – Engineering
• Department: Center for Transportation & Logistics
• School Area: Engineering

• Employment Type: Full-Time
• Employment Category: Exempt
• Visa Sponsorship Available: Yes
• Schedule:

POSTDOCTORAL ASSOCIATE, LOW INCOME FIRMS TRANSFORMATION (LIFT) LAB, Center for Transportation & Logistics (CTL), to assist LIFT Lab in research projects and teaching activities; conduct independent research under the supervision of senior researchers; conduct empirical research with micro and small firms in Latin America, including data collection, field interventions and data analysis; publish impactful research in leading academic and business-oriented journals in the field of supply chain management, with emphasis on empirical research and data analytics; work in collaboration with research staff in the development and scoping of sponsoring projects with corporate partners, including writing grants or research proposals; and serve as mentor and advisor for thesis or capstone projects for master’s program. ” />Email a Friend Save Save Apply NowPosting DescriptionPOSTDOCTORAL ASSOCIATE, LOW INCOME FIRMS TRANSFORMATION (LIFT) LAB, Center for Transportation & Logistics (CTL), to assist LIFT Lab in research projects and teaching activities; conduct independent research under the supervision of senior researchers; conduct empirical research with micro and small firms in Latin America, including data collection, field interventions and data analysis; publish impactful research in leading academic and business-oriented journals in the field of supply chain management, with emphasis on empirical research and data analytics; work in collaboration with research staff in the development and scoping of sponsoring projects with corporate partners, including writing grants or research proposals; and serve as mentor and advisor for thesis or capstone projects for master’s program.Job RequirementsREQUIRED: PhD in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; a minimum of two years of experience; in-depth knowledge and experience in one or more of the following research areas: empirical research, data analytics, statistical analysis, probability, machine learning or artificial intelligence; record of publications in peer-review academic journals in the field, or strong pipeline of potential publications; proficiency in coding in programming languages, preferably Python; excellent communication and presentation skills; enthusiasm for research, teaching and academic activities; passion for LIFT Lab and Center’s broader mission; and initiative with superb work ethic. PREFERRED: in-depth knowledge and relevant experience on applied projects involving data analytics and machine learning for the context of small firms, supply chain, or related field; and teaching experience (e.g. teaching assistant, lead lecturer) for courses on supply chain management, logistics, and quantitative-oriented courses, such as coding, statistics, probability, and mathematical modeling. Job #24524This is a temporary, one-year position with the possibility of extension, contingent upon performance and available funding.10/18/2024

Expected salary

Location

Cambridge, MA

Job date

Sun, 20 Oct 2024 07:45:52 GMT

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