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Decision Making Postdoc Jobs in Washington (NOW HIRING)

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Decision Making Postdoc information

What is a decision making postdoc?

A Decision Making Postdoc is a researcher who has completed their PhD and is conducting advanced research in the field of decision-making. This typically involves studying how individuals or groups make choices, using methods from psychology, neuroscience, economics, or related disciplines. Postdocs in this area often work on experimental design, data analysis, and publishing their findings, while collaborating with faculty and other researchers. The position is usually temporary, intended to further develop scholarly skills and prepare for an academic or industry career.

What are common challenges faced by decision making postdocs in balancing independent research with collaborative projects?

Decision Making Postdocs often need to strike a balance between pursuing their own research interests and contributing to larger lab or team projects. Juggling independent work with collaborative studies can be challenging, especially when timelines or methodologies differ. Success in this role typically involves strong communication skills, flexibility, and effective time management, as well as openness to interdisciplinary feedback. Navigating these dynamics helps postdocs build valuable experience for future academic or industry positions.

What are the key skills and qualifications needed to thrive as a decision making postdoc, and why are they important?

To thrive as a Decision Making Postdoc, you need a PhD in psychology, neuroscience, economics, or a related field, along with a strong background in experimental design and data analysis. Expertise in statistical software (such as R, MATLAB, or Python) and experience with behavioral or neuroimaging methods are typically required. Outstanding analytical thinking, problem-solving abilities, and effective scientific communication skills help you excel in collaborative research environments. These competencies are crucial for producing rigorous research, advancing knowledge in decision-making science, and contributing to interdisciplinary projects.

What is the difference between Decision Making Postdoc vs Data Scientist?

AspectDecision Making PostdocData Scientist
Required CredentialsPhD in relevant field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentAcademic or research institutions, labsTech companies, finance, healthcare, industry
Employer & Industry UsageResearch-focused roles, academiaIndustry roles, product development, analytics
Common Search & ComparisonDecision Making Postdoc vs Data Scientist

The Decision Making Postdoc primarily focuses on research and theoretical analysis related to decision processes, often within academic or research settings. In contrast, Data Scientists apply data analysis, modeling, and machine learning techniques to solve practical problems in industry. While both roles require strong analytical skills, Decision Making Postdocs emphasize research and theoretical frameworks, whereas Data Scientists focus on data-driven solutions for business applications.

What are popular job titles related to Decision Making Postdoc jobs in Washington?

For Decision Making Postdoc jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Decision Making Postdoc jobs in Washington look for?

The top searched job categories for Decision Making Postdoc jobs in Washington are:

What cities in Washington are hiring for Decision Making Postdoc jobs?

Cities in Washington with the most Decision Making Postdoc job openings:

Infographic showing various Decision Making Postdoc job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

NIST PREP Postdoctoral Associate in Operations Research and Industrial Engineering

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$75K - $85K/yr

Full-time

Re-posted 26 days ago


Job description

This position is part of the National Institute of Standards (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 and thus requires that such institutions be the recipients 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.
Research Title: Closing material loops to strengthen US semiconductor supply chains
The work will entail:NIST's Engineering Lab (EL) Systems Integration Division, Life Cycle Engineering Group is seeking a researcher in operations research and industrial engineering. We are expanding our research to develop ways of maximizing the value of U.S. microelectronics and semiconductors based on principles of circular economy. Microelectronics are valued for their processing capabilities and the materials that they contain. Operations research is applied to enable value recovery from the perspective of measuring the flow of materials, used in semiconductors, throughout the economy. We create methods to measure what, when and how much material will become available in the future and viable pathways for reclaiming those materials into the economy. By applying advanced forecasting methods to establish and validate circular pathways for microelectronic recovery, the project will deliver science-based techniques that strengthen domestic semiconductor manufacturing capabilities. The results will include a suite of decision support tools (metrics, models, and published research) to improve recovery outcomes, thereby strengthening supply chain resiliency via new material sources, and enabling stakeholders to respond dynamically to material availability challenges in the future.
We seek experienced research candidates with a background in micro and nano engineering, operations and/or supply-chain management, and a Ph.D., M.S. and/or related experience with a record of research in peer-reviewed publications. US citizenship needed.
Key responsibilities will include but are not limited to:
  • Conduct a literature survey including data collection on state-of-the-art of the microchip manufacturing process and chip product value chain.
  • Develop a strong understanding of the microchip market including the strengths and limitations of U.S. chip-making.
  • Develop high fidelity simulation models (across multiple product life cycles and product value chains) to quantify and characterize the material stocks and flows, and uncertainties and risks associated with domestic chip manufacturing sector.
  • Propose and develop quantitative evaluation metrics to effectively maximize microchip value.
  • Regularly synthesize results and analyses of findings and disseminate these via NIST program partners, special reports, high-impact journal publications and as presentations at technical conferences.

Qualifications
Desired skills/technical knowledge include a combination from the following:
  • An understanding of micro/nano fabrication processes for chips and first-principle modeling
  • Systems thinking, supply chain modeling, and knowledge of integrated production systems
  • Data analysis and visualization with Python and/or MATLAB
  • Predictive modeling and ML techniques, including dimensionality reduction, regression, and classification (ANOVAs single and multi-factor, non-parametric methods)
  • Stochastic Modeling (probabilistic models and their applications to manufacturing systems)
  • Principles of integrated production systems, including material handling, material flow and information flow, and scheduling.

Privacy Act StatementAuthority: 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 laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003794