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Mathematical Modeling Postdoc Jobs in Georgia (NOW HIRING)

Mathematics Expert - AI Trainer

Atlanta, GA ยท On-site +1

$30 - $45/hr

... model performance. Qualifications Must-Have * First-author or sole-author publications in top-tier mathematics journals. * Doctoral or postdoctoral training at a top-20 global institution for ...

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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 cities in Georgia are hiring for Mathematical Modeling Postdoc jobs? Cities in Georgia with the most Mathematical Modeling Postdoc job openings:

Mathematics Expert - AI Trainer

Mercor

Atlanta, GA โ€ข On-site, Remote

$30 - $45/hr

Part-time

Posted 14 hours ago

Be an early applicant


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics Researchers (India, Part-time)
Type: Contract
Compensation: $30โ€“$45/hour
Location: Remote
Commitment: 8โ€“20 hours/week

Role Responsibilities

  • Author and review challenging mathematics problems to train and evaluate frontier AI models.
  • Evaluate model outputs on tasks like proof construction, verification, problem-solving, formalization, and conjecture exploration.
  • Identify areas where current models fail, such as unjustified steps, misapplied hypotheses, or plausible but incorrect proofs.
  • Collaborate with a small program team and other senior contributors to enhance model performance.

Qualifications

Must-Have

  • First-author or sole-author publications in top-tier mathematics journals.
  • Doctoral or postdoctoral training at a top-20 global institution for mathematics or STEM.
  • Competitive fellowships and honors such as the Clay Research Fellowship, NSF GRFP, Sloan Research Fellowship, or equivalent.
  • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal researcher, or industry research mathematician.

Preferred

  • NSF CAREER or other grants where the contributor was a named PI or co-PI.

Engagement

  • Part-time: 8 to 20 hours per week.
  • Compensation reflects research seniority and credentials.
  • No fixed end date; contributors continue as long as the program needs their expertise.

Application Process (Takes 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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