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Mathematical Modeling Postdoc Jobs in Silver Spring, MD

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or ... Experience in running ice dynamics models such as ISSM, PISM or MALI * Experience with physics ...

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or ... Experience in running ice dynamics models such as ISSM, PISM or MALI * Experience with physics ...

D. in Computer Science, Mathematics, or a related field with a strong computer systems or AI ... Experience with parallel programming models and languages (e.g. MPI, OpenMP, CUDA, Kokkos ...

Senior Research Scientist US

Washington, DC · On-site

$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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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:
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.
Postdoctoral Fellow (PREP0003307)

Postdoctoral Fellow (PREP0003307)

Johns Hopkins University

Gaithersburg, MD • On-site

$53K - $72K/yr

Full-time

Posted 27 days ago


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7.5

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Job description

Description
PREP Research Associate
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, 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.
Research Title:
Postdoctoral Researcher
The work will entail:
Researcher will develop a thermometer based on atomic fluorescence intensity ratios. This research project will explore several novel and high-risk techniques for realizing a primary temperature sensor in a compact package. This will require operating an locking multiple lasers to atomic transitions, fiber optic design and operation, multilevel rate equation simulations, and careful characterization of systematic effects.
Key responsibilities will include but are not limited to:
-Perform experimental tasks toward realizing a primary thermometer base on rubidium atoms
-Data analysis
-Disseminating project results via peer-reviewed publications and public presentations
U.S. Citizen Preferred
Qualifications
- PhD in Physics or a related field
- Experience is required in two or more of the following areas:
- frequency stabilization of laser systems
- Python programming
- temperature metrology
- modeling population dynamics with a set of coupled rate equations
Application Instructions
Please upload the following with your application:
• CV/Resume
*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
Privacy Act Statement
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 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.

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