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Mathematical Modeling Postdoc Jobs in Georgia (NOW HIRING)

YO AI Labs

Physics Expert - Remote

Atlanta, GA · Remote

$80 - $160/hr

Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

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Mathematical Modeling Postdoc information

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 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 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 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 are popular job titles related to Mathematical Modeling Postdoc jobs in Georgia?

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

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

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

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

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

Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in Georgia as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 90% In-person, and 10% Remote job distribution.

Physics Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$80 - $160/hr

Full-time

Posted 8 days ago

Job description

Job Title: Physics Expert – Professor / Principal Investigator

Role Type: Contractor
Location: Remote

Job Overview

We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions.

The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most.

Scope of Work
  • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise.
  • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions.
  • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments.
  • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research.
  • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals.
  • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate.
  • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations.
  • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.
Required Skills
  • Physics Mastery
  • Expert Judgment in Ambiguous Cases
  • Meta-Level Reasoning
  • Research Leadership
  • Defensible Written Articulation
  • Scientific Analysis
  • Technical Evaluation
  • Research Communication
  • Critical Thinking
Preferred Qualifications
  • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield.
  • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership.
  • Active or recent research experience in one or more of the following areas:
    • High Energy Physics
    • Mathematical Physics
    • Biophysics
    • Statistical Physics
    • Condensed Matter Physics
    • AMO / Quantum Optics
    • Gravitation
    • Cosmology
    • Astrophysics
    • Quantum Information
    • Optical Properties of Materials
  • 3–5 recent representative publications in the target research area, with arXiv or DOI references available.
  • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools.
  • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously.
  • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.