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Phd Math Jobs in Albuquerque, NM (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Albuquerque, 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 ...

Sandia

Jill Hruby Fellowship 2027

Albuquerque, NM · On-site

$47K - $64K/yr

Designed for exceptional PhD graduates, this prestigious program empowers fellows to conduct ... Areas of special focus include: biological science; computing, information science, and mathematics ...

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All JobsPhd Math JobsPhd Math Jobs in Albuquerque, NM

Phd Math information

See Albuquerque, NM salary details

$7

$26

$37

How much do phd math jobs pay per hour?

As of Sep 15, 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 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 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 74% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $56,025 per year, or $26.9 per hour.

AI Training Specialist - Physics

Albuquerque, NM • On-site, Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $150/hr

Part-time

Re-posted 13 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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