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Mathematical Modeling Postdoc Jobs in Silver Spring, MD

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Assistant Professor

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... mathematical foundations, modeling, and computational methodologies that support AI-driven ... postdoctoral scholars, and junior researchers. • Collaborate with faculty across mathematics ...

Showing results 21-40

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 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 August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 95% In-person, 2% Hybrid, and 3% Remote job distribution.

Physical Scientist Faculty Position

Morgan State University

Baltimore, MD

$80K - $130K/yr

Full-time

Re-posted 28 days ago


Job description

Posting Summary
Job Title Physical Scientist Faculty Position Division Divison of Academic Affairs Department School of Computer, Mathematical & Natural Sciences Work Status Full Time Position Category Faculty Faculty Rank Open Rank FLSA Non-Exempt Pay Range Salary Range Assistant Professor $75,000 - $120,000; Associate Professor $80,000 - $130,000; Professor $95,000 - $170,000 (based on discipline) Fund Source State Support Job Summary
We are seeking to hire a new faculty member at the assistant, associate, or full professor level whose research interests align with the mission of the Center for Urban and Coastal Climate Science Research. Salaries are competitive and include the State of Maryland benefits package.
Job Duties
- Establish independent, externally funded research programs.
- Mentor and supervise postdoctoral researchers, graduate/undergraduate students, and research technicians.
-Teach undergraduate and graduate courses.
- Publish research findings in highly regarded peer-reviewed journals.
Knowledge, Skills, Abilities & Other Characteristics
Candidates should have a track record of research in physical processes governing atmospheric, coastal, oceanic or terrestrial systems related to climate change. The ideal candidate will have expertise in the patterns and trends related to key climate indicators such as temperature, precipitation, sea-level rise, extreme weather; a demonstrated ability to collect and apply empirical data in the development of physical and mathematical models understand and predict climate impacts on local, regional, national and global social/environmental climate systems; and experience using remote sensing technologies , and/or geographic information systems (GIS). Candidates who use large datasets to assess environmental change and variability, and integrate physical data with chemical, biological, and social science data to support comprehensive climate risk assessments, are strongly encouraged to apply.

Required Minimum Qualifications
- The successful candidate must possess a Doctorate in a relevant discipline from an accredited university.
- Must have demonstrated potential to develop a dynamic, nationally-recognized, and externally-funded research program that involves publishing in highly regarded peer-reviewed scientific journals.
- Experience and commitment to advancing climate and physical sciences research are essential.

Other Preferences for Consideration
Posting Detail Information
Posting Number FA00410 Number of Vacancies 1 Job Open Date 11/20/2025 Best Consideration Date 12/19/2025 Job Close Date Special Instructions to Applicant