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Mathematical Modeling Postdoc Jobs in Washington

micro1 AI

AI Training Specialist - Physics

Alexandria, VA · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Physics

Washington, DC · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

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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?

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 Washington?

For Mathematical Modeling Postdoc jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling Postdoc jobs in Washington look for?

The top searched job categories for Mathematical Modeling Postdoc jobs in Washington are:

What cities in Washington are hiring for Mathematical Modeling Postdoc jobs?

Cities in Washington with the most Mathematical Modeling Postdoc job openings:

Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in Washington as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 95% In-person, 2% Hybrid, and 3% Remote job distribution.

Post doctoral researcher in Mathematics or Statistics

University of Maryland Baltimore County

Baltimore, MD • On-site

Full-time

Re-posted 14 hours ago

Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Applied Mathematics or Statistics, in particular relating to data science applications".
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in applied mathematics, statistics, biostatistics, machine learning or a related field before their appointment start date. Successful candidates are expected to carry out research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of applied mathematics and statistics may apply. Our interests include but are not limited to analysis and computation of partial differential equations and applications; stochastic processes and applications (e.g. mathematical biology, data science); mathematical biology with modeling and analysis of cellular dynamics (e.g. clustered cell migration, neuromechanical locomotion, network synchronization), parameter estimation (e.g. in epidemiological spread, chemical reaction networks), emergent behavior (e.g. flocking, swarming); optimization theory and numerical optimization with applications to data science; high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158844
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.

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