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Mathematics Phd Jobs in Kansas (NOW HIRING)

Senior Scientific Reviewer - Physics

Topeka, KS ยท 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 ...

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 ...

AI Training Specialist - Physics

Wichita, KS ยท 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 ...

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 ...

Showing results 21-40

Mathematics Phd information

See Kansas salary details

$18.7K

$46.8K

$89.6K

How much do mathematics phd jobs pay per year?

As of Aug 21, 2026, the average yearly pay for mathematics phd in Kansas is $46,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $49,900.00 per year, depending on experience, location, and employer.

What is a mathematics PhD?

A Mathematics PhD job typically involves advanced research, teaching, and applying mathematical theories in academia, industry, or government. Mathematicians with a PhD may work as professors, researchers, data scientists, or analysts, solving complex problems in fields such as finance, engineering, and technology. Their roles often require deep theoretical knowledge, programming skills, and collaboration with experts from other disciplines.

What are typical career paths and advancement opportunities for someone with a mathematics PhD?

With a Mathematics PhD, professionals often pursue careers in academia as professors or researchers, as well as in industry roles such as data scientist, quantitative analyst, or applied mathematician. Advancement can involve moving from postdoctoral positions to tenure-track faculty, or progressing to senior research, technical lead, or management roles in private sector organizations. Many organizations value the ability to lead interdisciplinary projects and contribute original research, offering opportunities for publishing, speaking at conferences, and acquiring grants or patents. Career growth typically comes from building a strong research portfolio, developing specialized expertise, and demonstrating the ability to solve complex, high-impact problems. Collaborating across departments and industries can further broaden your career prospects and open doors to leadership positions.

What are the key skills and qualifications needed to thrive in the mathematics PhD position, and why are they important?

To thrive as a Mathematics PhD, you need deep expertise in advanced mathematics and statistical theory, typically demonstrated by an earned doctoral degree. Familiarity with computational tools such as MATLAB, R, Python, and mathematical modeling software is often required. Strong analytical thinking, creativity in problem-solving, and effective communication skills are highly valued. These abilities are crucial for producing original research, collaborating with interdisciplinary teams, and applying complex mathematical concepts to solve real-world problems.

Are mathematics PhDs in demand?

Mathematics PhDs are in demand in fields such as academia, data science, finance, and research, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and research experience, with demand driven by data-driven decision making and technological advancements.

How much do mathematics PhDs make?

Mathematics PhDs typically earn between $70,000 and $120,000 annually, depending on the industry, experience, and location. Academic positions often start lower but can increase with tenure and research funding, while industry roles in finance, technology, or data science tend to offer higher salaries and additional benefits.

Is a mathematics PhD worth it?

A mathematics PhD can lead to careers in academia, research, data analysis, and quantitative roles, often requiring strong analytical and problem-solving skills. While it offers advanced expertise, the investment in time and cost varies, and job prospects depend on specialization and industry demand.

What jobs can I 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 Mathematics Phd jobs in Kansas?

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

What job categories do people searching Mathematics Phd jobs in Kansas look for?

The top searched job categories for Mathematics Phd jobs in Kansas are:

What cities in Kansas are hiring for Mathematics Phd jobs?

Cities in Kansas with the most Mathematics Phd job openings:

Infographic showing various Mathematics Phd job openings in Kansas as of August 2026, with employment types broken down into 61% Full Time, 27% Part Time, and 12% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $46,805 per year, or $22.5 per hour.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Topeka, KS โ€ข Remote

$80 - $160/hr

Part-time

Posted 18 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Expertsโ€”established Professors or Principal Investigatorsโ€”to provide high-level domain guidance as part of an impactful project for a customer. 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3โ€“5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.