Decision Science Researcher

Decision Science for a Circular Economy Postdoctoral Researcher

Project Description:

The sponsor is seeking an experienced postdoctoral 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.

Key responsibilities may include, but are not limited to, leading the following activities: 

• 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 into clear, decision-relevant metrics such as willingness-to-pay, demand elasticities, and adoption likelihoods.
• Ensure analytical rigor consistent with peer-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.

Desired Qualifications: 

• Must be US citizen
• 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
  • Conjoint analysis and discrete choice modeling
  • 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

Other Details:

• Full-time: the participant is expected to work 40 hours a week
• Location: the participant will work at the NIST Gaithersburg Campus.
• Duration: this is expected to be a one-year position. Extensions are sometimes granted depending on the availability of funds.