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Applied Mathematics Phd Jobs in Colorado (NOW HIRING)

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Applied Mathematics Phd information

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$23.7K

$61.9K

$99.4K

How much do applied mathematics phd jobs pay per year?

As of Aug 24, 2026, the average yearly pay for applied mathematics phd in Colorado is $61,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $73,600.00 per year, depending on experience, location, and employer.

What is an applied mathematics PhD?

Applied Mathematics PhDs are advanced academic degrees focused on the development and application of mathematical methods to solve real-world problems in science, engineering, business, and other fields. Students in these programs engage in research that often bridges theoretical mathematics and practical applications, such as modeling physical phenomena, analyzing data, or optimizing systems. Graduates are equipped to work in academia, industry, government, or research institutions, contributing mathematical expertise to a wide range of disciplines.

What types of projects or research areas do applied mathematics PhDs typically work on within industry settings?

Applied Mathematics PhD holders often work on projects involving data analysis, mathematical modeling, algorithm development, and optimization in industries such as finance, technology, healthcare, and engineering. They may collaborate with interdisciplinary teams to solve complex real-world problems, such as developing predictive models, optimizing processes, or designing simulations. These roles often require strong communication skills to translate mathematical concepts into practical solutions for stakeholders. The work environment is typically collaborative, with opportunities to lead projects or move into specialized or managerial positions over time.

What are the key skills and qualifications needed to thrive as an applied mathematics PhD, and why are they important?

To thrive as an Applied Mathematics PhD, you need advanced mathematical modeling, analytical thinking, and quantitative problem-solving skills, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and experience with computational tools is often required. Strong communication, collaboration abilities, and adaptability are essential soft skills for conveying complex concepts and working in multidisciplinary teams. These skills are crucial for developing innovative solutions to real-world problems and effectively contributing to academic, industrial, or research environments.

What is the difference between Applied Mathematics Phd vs Data Scientist?

AspectApplied Mathematics PhdData Scientist
Required CredentialsPhD in Applied Mathematics or related fieldBachelor's or Master's in Computer Science, Statistics, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageModel development, algorithm design, researchData analysis, predictive modeling, business insights
Common Search/ComparisonApplied Mathematics Phd vs Data Scientist

While both roles involve data analysis and modeling, Applied Mathematics Phds focus more on theoretical research and developing new algorithms, often in research or academic settings. Data Scientists typically apply existing models to solve business problems in industry. The roles overlap in quantitative skills but differ in focus and work environment.

Are applied mathematics PhDs in demand?

Applied mathematics PhDs are in demand across industries such as finance, data science, engineering, and research, where advanced analytical and problem-solving skills are valued. These roles often require strong programming, statistical, and modeling expertise, with employment opportunities available in academia, government, and private sectors.

Is an applied mathematics PhD worth it?

An applied mathematics PhD can lead to careers in research, data analysis, finance, and academia, often requiring strong analytical and programming skills. While it offers advanced expertise, the value depends on career goals and industry demand, which can vary by field and location.

What can I do with a PhD in applied mathematics?

A PhD in applied mathematics prepares individuals for research, data analysis, and modeling roles across industries such as finance, engineering, technology, and academia. Graduates often work as quantitative analysts, data scientists, operations researchers, or in roles requiring advanced problem-solving and programming skills with tools like MATLAB, Python, or R.

What are popular job titles related to Applied Mathematics Phd jobs in Colorado?

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

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

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

What cities in Colorado are hiring for Applied Mathematics Phd jobs?

Cities in Colorado with the most Applied Mathematics Phd job openings:

Applied Mathematics Phd jobs near you
Infographic showing various Applied Mathematics Phd job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,868 per year, or $29.7 per hour.

Geolocation DSP Engineer

Rincon Research Corp

Englewood, CO • On-site

$110K - $148K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 20 days ago

Job description

Why Join Rincon Research Corporation (RRC)?

At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital communication products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation (RRC) seeks a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense.

Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. RRC’s dynamic environment and diverse projects demand flexibility to learn new technologies quickly. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M.

Come join the team that is creating cutting edge signal processing, geolocation, and communication systems for the future.

What are the primary responsibilities in the Geolocation DSP Engineer position?

Under general supervision, this individual will work in a small team to conceive, design, implement, analyze, test, deploy, and maintain solutions for geolocation systems. Implementation includes algorithm development, analysis, system optimization and deployment strategies. The right candidate will be expected to demonstrate dedication, discipline, integrity, and team play leading to products that are well-structured, documented, and carefully tested.

What required background will make you successful?

  • Bachelor’s degree in a relevant technical area such as; Electrical Engineering, Computer Engineering, Applied Mathematics, or Physics
  • Minimum 5 years experience in software engineering-related discipline
  • Exceptional applied mathematics ability
  • Demonstrated capability in scientific programming
  • Ability to obtain and maintain TS/SCI security clearance
  • US CITIZENSHIP REQUIRED

Preferred skills:

  • Master’s degree or PhD in a relevant technical area; a minor in Applied Mathematics is helpful
  • Strong physics fundamentals
  • Exceptional applied mathematics ability reflected in a background in geolocation, signal processing or communication theory and practice
  • Experience in system definition, development and deployment of geolocation algorithms and systems, preferably in a classified environment
  • Familiarity with team coding concepts, version control, testing, and analysis of code performance
  • Experience programming in C/C++ or Python

Applicable background:

  • GPS or other navigation systems
  • Electromagnetic propagation
  • Relativity
  • Multipath and interference mitigation
  • Signal processing such as CAF processing and cyclostationary detection
  • Signal modulation types and parameters
  • RADAR processing
  • Mathematical techniques such as non-linear optimization and statistical analysis
  • Positioning algorithms such as MUSIC and TDOA/FDOA geolocation

Where is the position located?

This position can be located at our Centennial, CO office or our Tucson, AZ Headquarters. Remote work/telework is not available for this position.

What benefits does RRC offer?

  • 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
  • Flexible reimbursement spending accounts for medical expense and dependent care
  • Immediate participation and vesting in the company’s Employee Stock Ownership Plan (ESOP) and 401(k) Plan
  • Employer contributions to RRC’s ESOP
  • Employer matching contributions to the company’s 401( k) Plan
  • Employer discretionary contributions to the company’s 401(k) Plan

Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.