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David Broniatowski

4 days ago

Postdoctoral Fellow in Decision-Science for Circular Economy at George Washington University George Washington University in United States

Degree Level

Postdoc

Field of study

Environmental Science

Funding

The position is part of the NIST Professional Research Experience (PREP) program at George Washington University. No specific details on stipend or funding amount are provided.

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Country

United States

University

George Washington University

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Keywords

Environmental Science
Decision Science
Electric Vehicle
Circular Economy
Applied Economics
Economics
Statistics

About this position

The George Washington University, in collaboration with the NIST Professional Research Experience (PREP) program, is seeking a highly motivated Postdoctoral Fellow to join the Applied Economics Office (AEO) at NIST. This position focuses on rigorous research in Decision-Science for a Circular Economy, with key areas including consumer preferences for Battery Electric Vehicles and Circular Plastic Products. The successful candidate will lead quantitative research studies, design and implement stated preference surveys and conjoint experiments, and apply advanced discrete choice models, latent class models, and clustering techniques. The role also involves translating complex data into decision-relevant metrics such as willingness-to-pay and demand elasticities.

Applicants should have a Ph.D. in Economics, Engineering, or a related quantitative field, with deep expertise in survey design, conjoint analysis, and discrete choice modeling. Proficiency in R and statistical modeling tools is essential. A strong publication record is required, including at least three peer-reviewed publications and at least one first-authored paper using survey data. U.S. citizenship is mandatory for this position.

This opportunity is ideal for experienced researchers interested in consumer perceptions and sustainability within the circular economy. The position is based at George Washington University, with research conducted in partnership with NIST's Applied Economics Office. The announcement is made by Professor David Broniatowski, a leading academic in Engineering Management and Systems Engineering. For more information and to apply, candidates should visit the provided application link.

Funding details

The position is part of the NIST Professional Research Experience (PREP) program at George Washington University. No specific details on stipend or funding amount are provided.

What's required

Applicants must hold a Ph.D. in Economics, Engineering, or a related quantitative field. Deep expertise in survey design, conjoint analysis, and discrete choice modeling is required. Proficiency in R and statistical modeling tools is necessary. Candidates must have at least three peer-reviewed publications, including at least one first-authored paper using survey data. U.S. citizenship is required.

How to apply

Apply through the provided application link. Ensure you meet all qualifications before submitting your application. Prepare your publication record and evidence of expertise in required areas.

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