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Applied Mathematics Phd Jobs (NOW HIRING)

Meridial

$65/hr

A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed publications, teaching experience, research in pure or applied mathematics, or handson experience with ...

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Applied Mathematics Phd information

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$22.5K

$58.8K

$94.5K

How much do applied mathematics phd jobs pay per year?

As of Jul 12, 2026, the average yearly pay for applied mathematics phd in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

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 types of projects or research areas do Applied Mathematics PhD holders 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 jobs do math PhDs get?

Math PhDs often pursue careers in academia as university professors or researchers, as well as in industry roles such as data scientists, quantitative analysts, operations researchers, and software developers. They utilize advanced analytical, statistical, and computational skills, often working with programming languages like Python or R and employing mathematical modeling and data analysis tools.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. Candidates typically need a strong background in applied mathematics, programming skills, and security clearances. These positions may require a Ph.D. in applied mathematics or a related field and adherence to strict background checks and training protocols.

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.

What can I do with a PhD in applied math?

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

What are Applied Mathematics PhDs?

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.

Does NASA hire pure mathematicians?

NASA employs applied mathematicians and scientists who use advanced mathematical techniques for research, modeling, and problem-solving in space exploration and aeronautics. While pure mathematicians are less common, individuals with strong mathematical backgrounds and skills in computational tools and programming can contribute to NASA projects in roles related to data analysis, simulation, and algorithm development.
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Applied Mathematics Phd jobs near you
Part Time Lecturer, MS Statistics and MS Applied Mathematics

Part Time Lecturer, MS Statistics and MS Applied Mathematics

Northeastern University

Boston, MA • On-site

$2.9K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

About the Opportunity
About the Opportunity:
The Department of Mathematics seeks part-time lecturers to teach graduate-level project courses in the MS Statistics and MS Applied Mathematics programs. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems.
The ideal candidate will have a strong academic background in mathematics, applied mathematics, statistics, data science, or a closely related field, together with professional or industry experience in applying quantitative methods. Project topics may include statistical modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics, operations research, or other applied areas depending on program needs.
The instructor will guide students through project development, problem formulation, data analysis, modeling, computation, interpretation, communication, and final presentations.
The per credit rate is $2,932.00.
Key Responsibilities:
Responsibilities include the following:
  • Teach graduate-level project-based courses in MS Statistics and MS Applied Mathematics.
  • Develop and guide applied projects connecting mathematics, statistics, computation, and real-world problems.
  • Mentor students through project scoping, modeling, data analysis, computation, interpretation, and presentation.
  • Support the use of tools such as Python, R, MATLAB, or other relevant software.
  • Provide timely feedback on project proposals, progress reports, presentations, and final reports.
  • Connect course content with current industry and research applications.
  • Maintain regular communication with students and hold office hours.
  • Coordinate with the program director and faculty lead as needed.

Qualifications:
  • PhD in Mathematics, Applied Mathematics, Statistics, Data Science, or a closely related field required.
  • Industry, government, or research experience applying quantitative, statistical, computational, or data-driven methods strongly preferred.
  • Experience with project-based teaching, mentoring, consulting, or supervising applied projects preferred.
  • Strong communication skills and ability to guide graduate students from diverse backgrounds required.
  • Experience with Python, R, MATLAB, or related tools strongly preferred.
  • Ability to connect mathematical and statistical theory with practical applications required.
  • Prior graduate-level teaching experience preferred.

Application Materials:
  • CV/resume
  • cover letter
  • 3 references - provide name, title, company, phone, email, relationship (e.g. my current supervisor)

Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The rate per credit is $2,932.00

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