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Phd Math Jobs in Colorado (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Denver, CO · Remote

$80 - $140/hr

PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Physics Modeling Expert - Remote

Greeley, CO · Remote

$80 - $140/hr

PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Research Consultant - Physics AI

Greeley, CO · Remote

$80 - $140/hr

PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Prolim Global

Senior software engineer

Colorado Springs, CO · On-site

$120K - $159K/yr

This role involves developing advanced mathematical and physics-based software solutions critical ... Bachelor's degree in STEM field * 5+ years experience (BS) OR 3+ years (MS) OR 1+ year (PhD)

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Phd Math information

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$8

$29

$40

How much do phd math jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for phd math in Colorado is $29.22, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $30.82 per hour, depending on experience, location, and employer.

What are PhD math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.

What are the key skills and qualifications needed to thrive as a PhD-level mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they tend to earn higher salaries, often exceeding $100,000 annually, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

What is the salary of a PhD in math?

A PhD in math typically earns between $70,000 and $120,000 annually, depending on the industry, location, and experience. Academic positions such as university professors may have lower starting salaries but offer research and teaching opportunities, while industry roles in finance, data science, or technology tend to offer higher compensation.

What are popular job titles related to Phd Math jobs in Colorado?

For Phd Math jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Phd Math jobs in Colorado look for?

The top searched job categories for Phd Math jobs in Colorado are:

What cities in Colorado are hiring for Phd Math jobs?

Cities in Colorado with the most Phd Math job openings:

Phd Math jobs near you
Infographic showing various Phd Math job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,775 per year, or $29.2 per hour.

Computational Physics Specialist - Remote

micro1 AI

Lakewood, CO • Remote

$80 - $140/hr

Part-time

Posted 18 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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