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Math Research Jobs in Texas (NOW HIRING)

webAI

AI Research Scientist

Austin, TX · On-site

... Mathematics, or a related field Preferred : • Master's or PhD in Machine Learning, Computer ... Research experience in generative AI, reinforcement learning, or multimodal learning • ...

Tamus

Instructor of Math

Stephenville, TX · On-site

$43K - $56K/yr

... Mathematics ... As part of a vibrant academic community dedicated to excellence in teaching, research, and service ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

Document findings and mentor engineers on the mathematical nuances of the models. Qualifications: * Experience: 5+ years of post-doc or industrial research experience or equivalent university time ...

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Showing results 21-40

All JobsMath Research JobsMath Research Jobs in Texas

Math Research information

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$21K

$54.8K

$88K

How much do math research jobs pay per year?

As of Aug 8, 2026, the average yearly pay for math research in Texas is $54,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $65,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in math research, and why are they important?

To thrive in Math Research, you need advanced mathematical knowledge, strong analytical abilities, and a graduate degree (often a Ph.D.) in mathematics or a related field. Commonly used tools include programming languages such as Python or MATLAB, mathematical modeling software, and statistical analysis packages. Exceptional problem-solving, perseverance, and effective communication skills help researchers articulate complex findings and collaborate across disciplines. These skills ensure rigorous, innovative research that advances understanding and delivers real-world impact.

What types of projects do professionals in math research typically work on?

Math Research professionals often focus on solving theoretical problems, developing new mathematical models, or applying mathematics to fields like data science, engineering, or finance. Projects can range from pure mathematical theory to practical applications such as optimizing algorithms, analyzing big data, or designing statistical tests. Researchers frequently work within academic, governmental, or private sector teams, collaborating with other scientists, engineers, or subject matter experts. This interdisciplinary approach allows for both independent and group work, providing opportunities for creative problem-solving and continuous learning.

What are the top 5 math research careers that pay well?

Math research careers that tend to pay well include roles such as quantitative analyst, data scientist, operations researcher, cryptographer, and actuarial scientist. These positions often require advanced degrees, strong analytical skills, and proficiency with programming and statistical tools, with salaries varying based on industry and experience.

What does a math researcher do?

A math researcher investigates mathematical theories, develops new models, and solves complex problems across various fields such as pure mathematics, applied mathematics, or data analysis. They often work in academic, government, or industry settings, using tools like programming languages and statistical software to support their research and typically hold advanced degrees in mathematics or related disciplines.

How to become a mathematics researcher?

To become a mathematics researcher, typically a candidate needs a strong foundation in advanced mathematics through a bachelor's degree, followed by a master's or Ph.D. in mathematics or a related field. Developing research skills, proficiency with mathematical software, and publishing findings in academic journals are also important steps in establishing a career in mathematical research.

What is a math research?

A Math Research job involves studying mathematical theories, solving complex problems, and developing new mathematical models. Researchers may work in academia, government, or industry, applying advanced math to fields like physics, finance, cryptography, or data science. They often publish papers, collaborate with other scientists, and contribute to theoretical or applied mathematics.

What are the most commonly searched types of Math Research jobs in Texas? The most popular types of Math Research jobs in Texas are:
What are popular job titles related to Math Research jobs in Texas? For Math Research jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Math Research jobs in Texas look for? The top searched job categories for Math Research jobs in Texas are:
What cities in Texas are hiring for Math Research jobs? Cities in Texas with the most Math Research job openings:
Math Research jobs near you
Infographic showing various Math Research job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, and 20% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $54,816 per year, or $26.4 per hour.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX • On-site

Other

Re-posted 7 days ago

Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Chicago office.
What You'll Do:
Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency
What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
  • A highly-competitive internship compensation package
  • Optiver-covered flights, living accommodations, and commuting stipends
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer.
Who You Are:
  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
  • Expected graduation between December 2027 - June 2029 and available to intern during Summer 2027
  • Open to full-time opportunities upon graduation in 2028 or 2029
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

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