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Phd In Mathematics Jobs in Iowa (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Cedar Rapids, IA · On-site +1

$80 - $150/hr

PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

micro1 AI

AI Training Specialist - Physics

Davenport, IA · On-site +1

$80 - $150/hr

PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Aegon

Manager, Modeling (Hybrid)

Cedar Rapids, IA · Hybrid

$136K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... MSc\PhD)ina quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office environment: 3 days in ...

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Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and research institutions, where advanced analytical and problem-solving skills are valued. Opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it can lead to high-level positions, it typically involves several years of study and may not guarantee higher salaries compared to other advanced degrees or industry experience.

What jobs can you get with a PhD in mathematics?

A PhD in mathematics qualifies individuals for roles such as research mathematician, data scientist, quantitative analyst, operations researcher, or university professor. These positions often require strong analytical, problem-solving, and programming skills, and may involve working in academia, finance, technology, or government agencies.

What are popular job titles related to Phd In Mathematics jobs in Iowa?

For Phd In Mathematics jobs in Iowa, the most frequently searched job titles are:

Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution.

Senior Scientific Reviewer - Physics

micro1 AI

Cedar Rapids, IA • On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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