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Mathematical Modeling Postdoc Jobs in Silver Spring, MD

Quandela

Senior Research Scientist US

Washington, DC

$111K - $142K/yr

Develop novel scientific concepts, models, methods, and experimental or computational approaches ... Mentor junior scientists, postdoctoral researchers, engineers, and interns. * Contribute to ...

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All JobsMathematical Modeling Postdoc JobsMathematical Modeling Postdoc Jobs in Silver Spring, MD

Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a Mathematical Modeling Postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by Mathematical Modeling Postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Postdoc, and why are they important?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
What are popular job titles related to Mathematical Modeling Postdoc jobs in Silver Spring, MD? For Mathematical Modeling Postdoc jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in Silver Spring, MD look for? The top searched job categories for Mathematical Modeling Postdoc jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Mathematical Modeling Postdoc jobs? Cities near Silver Spring, MD with the most Mathematical Modeling Postdoc job openings:
Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in Silver Spring, MD as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

NIST PREP Postdoc in Decision-Science for a Circular Economy

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$80K - $85K/yr

Full-time

Posted 16 days ago

Job description

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.
Research Title: Decision-Science for a Circular Economy
The work will entail: 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.
Key responsibilities could 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.

Qualifications
  • Ph.D. in Economics, Engineering, or a related quantitative field
  • Experienceconducting 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 inpeer-reviewed journals
  • Proficiency inR 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

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.
PREP0004102

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