Postdoctoral; PREP

General Description

PREP Post-doctoral Associate (US Citizen)

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas.

Employees in this position will perform technical work that underpins the scientific research of the collaboration.

The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions.

AEO is integrated within EL's major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision-making processes.

Decision-Science for a Circular Economy

We are seeking an experienced post-doctoral researcher to produce rigorous, publication-quality research on consumer perceptions and preferences in two projects that focus on the circular economy. This role requires deep expertise in advanced survey methodologies, experimental design, and statistical modeling. The ideal candidate has a strong research publication record and experience managing large-scale surveys data. The two projects the post-doctoral associate will support are focused on consumer preferences for battery electric vehicle information and consumer preference for circular plastic products.

• Design and implementation of quantitative research studies, including stated preference surveys and conjoint experiments.
• Apply advanced discrete choice models, latent class models, clustering techniques, to uncover heterogeneous preferences and segment-specific insights.
• Translate complex statistical outputs intoclear, decision-relevant metrics such as willingness-to-pay, demand elasticities, and adoption likelihoods.
• Ensure analytical rigor consistent withpeer-reviewed academic standards.
• Author and co-author peer-reviewed journal articles, conference papers and technical reports.
• Work collaboratively with an inter-disciplinary team of researchers.

• Ph.D. in Economics, Engineering, or a related quantitative field
• Experience conducting applied survey research and quantitative analysis
• Demonstrated expertise in Survey design and implementation
• Demonstrated expertise in Conjoint analysis and discrete choice modeling
• Demonstrated expertise in Segmentation and clustering methods
• Strong publication record in peer-reviewed journals
• Proficiency in R and statistical modeling tools (e.g., Mplus, SPSS); experience with GIS or visualization tools is a plus
• Experience coding surveys in survey down or similar open-source survey tool
• At least 3 peer-reviewed publications
• At least one first authored peer-reviewed publication using survey data
• Excellent writing and communication skills
• Self-driven and capable of working independently with minimal supervision
• Must be US Citizen

Please upload the following with your application:

• * Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender

Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose:

The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable…