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Phd Math Jobs in Albuquerque, NM (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Rio Rancho, NM · 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

Rio Rancho, NM · 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

Albuquerque, NM · 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

Albuquerque, NM · 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

AI Training Specialist - Physics

Rio Rancho, NM · 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 ...

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Phd Math information

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$7

$26

$37

How much do phd math jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for phd math in Albuquerque, NM is $26.94, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $28.41 per hour, depending on experience, location, and employer.

What is the salary of a PhD in math?

A PhD in math can lead to roles such as researcher, data scientist, or university professor, with salaries typically ranging from $70,000 to over $150,000 annually depending on experience, industry, and location. Academic positions often start lower but increase with tenure and specialization, while industry roles tend to offer higher compensation for advanced analytical skills.

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 jobs can a PhD in math get?

A PhD in math can lead to careers in academia as a university professor, in research roles within government agencies or private industry, or in data analysis, quantitative finance, and actuarial science. These positions often require strong analytical, problem-solving, and programming skills, and may involve working with large datasets or developing mathematical models.

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.

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.

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 can earn competitive salaries, often higher than those with only a master's degree, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

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 popular job titles related to Phd Math jobs in Albuquerque, NM?

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

What job categories do people searching Phd Math jobs in Albuquerque, NM look for?

The top searched job categories for Phd Math jobs in Albuquerque, NM are:

Phd Math jobs near you
Infographic showing various Phd Math job openings in Albuquerque, NM as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $56,025 per year, or $26.9 per hour.

Physics Modeling Expert - Remote

micro1 AI

Rio Rancho, NM • Remote

$80 - $140/hr

Part-time

Posted 12 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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