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Phd Math Jobs (NOW HIRING)

CA

$69K - $90K/yr

... Math Teacher . The ideal candidate will bring both breadth and depth to their mathematical ... PhD in Mathematics or a closely related discipline. * Experience teaching in an independent school ...

... PhD program in Applied Science and Technology. The Department also offers two minor programs in ... Minimum Requirements Candidates must have a Master's degree in Mathematics, Statistics or ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

You will be evaluating advanced math tasks and solutions and provide clear, written feedback Requirements Requirements: Education : PhD in Physics from a top tier university Work experience : 2+ ...

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

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Phd Math information

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How much do phd math jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for phd math in the United States is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $29.33 per hour, depending on experience, location, and employer.

Is a PhD in math worth it?

A PhD in math 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, the degree involves significant time and financial investment, and job prospects vary depending on the industry and geographic location.

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 math PhD get?

A math PhD can pursue careers in academia as a researcher or professor, as well as in industry roles such as data scientist, quantitative analyst, operations researcher, or software engineer. These positions often require strong analytical, programming, and problem-solving skills, and may involve working with large datasets, mathematical modeling, or algorithm development.

What do people with a PhD in mathematics do?

People with a PhD in mathematics often work as researchers, data scientists, quantitative analysts, or university professors. They apply advanced mathematical theories, modeling, and statistical tools to solve complex problems across industries such as finance, technology, academia, and government. These roles typically require strong analytical skills and proficiency with programming languages like Python or R.

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.

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. Employment opportunities often require strong quantitative skills, programming knowledge, and the ability to apply mathematical theories to real-world problems.

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.
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What states have the most Phd Math jobs? States with the most job openings for Phd Math jobs include:

Graduate/PhD Research Intern, Machine Learning

Constellation Space

Seattle, WA • On-site

$6K - $7K/mo

Full-time

Posted 9 hours ago


Job description

About Constellation

Constellation is building software to model, predict, and improve satellite network operations. We combine simulation, data/ML workflows, and product-facing platform systems to support better operational decisions.

Role Overview

We are seeking a research-focused ML intern (MS/PhD level) to help advance our modeling and experimentation capabilities. This role is ideal for someone who enjoys turning research ideas into rigorous experiments and high-quality prototypes that can influence real product and platform direction.
Note: This role requires access to ITAR-controlled data, so we need candidates to be U.S. persons (citizen, green card holder, or asylee/refugee).

What You’ll Do

- Design and run ML experiments for forecasting and anomaly/risk prediction in network operations

- Develop and evaluate models using time-series, probabilistic, and simulation-informed approaches

- Improve feature engineering, dataset quality, and evaluation methodology

- Build reproducible research workflows for training, validation, and model comparison

- Communicate findings through clear technical writeups and recommendations

What We’re Looking For

- Currently enrolled in an MS or PhD program (CS, EE, Aerospace, Applied Math, or related)

- Strong low level engineering skills and comfort with scientific/ML tooling (C++, Python, Rust)

- Ability to own projects end-to-end: scoping, implementation, testing, and communication

- Clear written/verbal communication and strong collaboration habits

Nice to Have

- Experience with APIs, cloud infrastructure, or data-intensive systems

- Familiarity with model evaluation, experiment tracking, and reproducibility

- Background in networking, geospatial systems, telecom, or space-tech