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David Broniatowski

8 months ago

Research Associate in Applied Economics and Engineering Management (Master’s Level) at George Washington University/NIST George Washington University in United States

Degree Level

not provided

Field of study

Environmental Science

Funding

No explicit funding or stipend information is provided. The position is a paid Research Associate role through the NIST Professional Research Experience Program (PREP).

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Environmental Science
Behavioral Science
Psychology
Decision Science
Business
Social Science
Environmental Economics
Circular Economy
Resiliency
Engineering Management
Applied Economics
Econometric
Economics
Statistics

About this position

The George Washington University, in partnership with the National Institute of Standards and Technology (NIST) through the Professional Research Experience Program (PREP), is seeking a Research Associate for the Applied Economics Office (AEO) in Gaithersburg, MD. This opportunity is ideal for Master’s graduates in Economics, Social Science, Psychology, Policy, or related fields who are eager to apply their analytical skills to real-world infrastructure and resilience challenges.

As a Research Associate, you will join a multidisciplinary team of social scientists, engineers, and researchers to provide economic products and services that support productivity, economic growth, and international competitiveness. Your work will directly inform decision-making in areas such as energy conservation, community resilience planning, and smart grid technology. Key responsibilities include analyzing complex data sets, conducting comprehensive literature reviews, assisting in the design of data collection instruments, co-authoring reports and research articles, presenting findings at professional conferences, and supporting decision-science tools related to building infrastructure and the circular economy.

Applicants must hold a Master’s degree in a relevant field and possess a strong background in econometrics or statistics. Experience in at least two of the following areas is preferred: Applied Microeconomics, Behavioral Science, Environmental Economics, Risk & Uncertainty, or Regional Planning. Candidates should demonstrate logical thinking, attention to detail, and excellent written communication skills. Eligibility for a Department of Commerce background check is required.

This position offers a unique chance to work within the NIST Engineering Laboratory, where your economic analysis will influence national standards and safety protocols. The role is based at the NIST Campus in Gaithersburg, MD. While specific funding details are not provided, the position is a paid Research Associate role under the NIST PREP program.

To apply, visit the provided application link and ensure you meet all eligibility requirements. Prepare your application materials and follow the instructions on the application portal. For more information, you may refer to the LinkedIn profile of Professor David Broniatowski, who is associated with the program.

Funding details

No explicit funding or stipend information is provided. The position is a paid Research Associate role through the NIST Professional Research Experience Program (PREP).

What's required

Applicants must have a Master’s degree in Economics, Social Science, Psychology, Policy, or a related field. A strong background in econometrics or statistics is required. Candidates should have experience in at least two areas such as Applied Microeconomics, Behavioral Science, Environmental Economics, Risk & Uncertainty, or Regional Planning. Logical thinking, attention to detail, and excellent written communication skills are essential. Eligibility for a Department of Commerce background check is required.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Statistics

Physics

Materials Science

Computer Science