1

Partial Differential Equations Jobs (NOW HIRING)

Machine Learning Engineer

Manhattan, NY ยท On-site

$150 - $200/hr

Exceptional understanding of partial differential equations (PDEs), vector calculus, automatic differentiation (autograd), and numerical optimization algorithms (Adam, Lโ€‘BFGS). * Data Pipelines:

Exceptional understanding of partial differential equations (PDEs), vector calculus, automatic differentiation (autograd), and numerical optimization algorithms (Adam, L-BFGS). * Data Pipelines:

Applied Mathematics Tutor

IL ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

MA ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

Woodstock, GA ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

Logan, UT ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

Evanston, IL ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

Lowell, MA ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

Applied Mathematics Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.

next page

Showing results 1-20

Partial Differential Equations information

See salary details

$22

$24

$26

How much do partial differential equations jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for partial differential equations in the United States is $24.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $25.72 per hour, depending on experience, location, and employer.

What is a partial differential equations?

A Partial Differential Equations (PDE) job involves researching, analyzing, and solving equations that describe physical phenomena such as heat flow, fluid dynamics, and wave propagation. Professionals in this field work in academia, engineering, finance, and scientific research, using mathematical models to solve complex real-world problems. Typical roles include applied mathematicians, computational scientists, and engineers specializing in numerical simulations and modeling.

What are the key skills and qualifications needed to thrive in partial differential equations?

To excel in a role specializing in Partial Differential Equations (PDEs), you need a solid background in advanced mathematics or applied mathematics, often supported by a graduate degree such as a Master's or Ph.D. in mathematics, physics, or engineering. Expertise with mathematical modeling software like MATLAB, Mathematica, or COMSOL and familiarity with programming languages such as Python or C++ are typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex results to both technical and non-technical team members are crucial soft skills. These competencies enable professionals to solve intricate real-world problems and collaborate effectively in research or industry project teams.

What types of industries or projects typically employ specialists in partial differential equations?

Specialists in Partial Differential Equations are often employed across a broad spectrum of industries, including aerospace, engineering, finance, data science, and environmental science. They work on projects such as modeling fluid dynamics for aircraft design, simulating heat transfer in manufacturing, analyzing financial derivatives, or forecasting weather patterns. Daily responsibilities often involve collaborating with multidisciplinary teams, translating real-world phenomena into mathematical models, and developing computational solutions. Working in this field offers opportunities to contribute to innovative research and applied solutions, with clear pathways for advancement into senior research, technical leadership, or academic positions.

More about Partial Differential Equations jobs

What are the most commonly searched types of Partial Differential Equations jobs?

The most popular types of Partial Differential Equations jobs are:

Infographic showing various Partial Differential Equations job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 15% Part Time, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $51,500 per year, or $24.8 per hour.

Assistant Professor/Instructor, Applied Mathematics and Data Science

St Thomas University

Miami Gardens, FL โ€ข On-site

$60 - $80/hr

Other

Re-posted 29 days ago


Key responsibilities

  • Teach undergraduate mathematics courses at all levels, including courses such as College Algebra, Statistics, Precalculus, Trigonometry, Calculus, Linear Algebra, Discrete Math, and Ordinary Differential Equations.

  • Contribute to curriculum development, assessment, and program initiatives related to Applied Mathematics and Data Science.

  • Support student success through advising, tutoring coordination, and student engagement initiatives.


Job description

Job Details

Location: Miami Gardens, FL 33054
Position Type: Full Time

Position Summary

The Department of Mathematics invites applications for a full-time in person Assistant Professor/Instructor of Applied Mathematics and Data Science, starting Fall 2026. We seek a dynamic, student-centered educator with expertise in mathematics, applied mathematics, statistics, data science, or a related field and the ability to teach across the undergraduate mathematics curriculum. The successful candidate will be committed to excellence in teaching, mentoring, and advising students from diverse backgrounds and contributing to the continued growth of the Applied Mathematics and Data Science program.

Essential Functions and Duties
  • Teach undergraduate mathematics courses at all levels (typically a 4-course (12 credit hour) teaching load per semester) such as College Algebra, Statistics, Precalculus, Trigonometry, Calculus, Linear Algebra, Discrete Math, Ordinary Differential Equations. Additional opportunities exist to teach courses in Data Science, Mathematical Modeling, Numerical Analysis, Complex Analysis, and Partial Differential Equations.
  • Contribute to curriculum development, assessment, and program initiatives.
  • Support student success through advising, tutoring coordination, and student engagement initiatives.
  • Participate in departmental, university, and professional service activities.
  • Contribute to the continued growth and development of the Applied Mathematics and Data Science program.
Qualifications
  • Ph.D. in Mathematics, Applied Mathematics, Statistics, Data Science, or a related field (Preferred).
  • Master's degree (Required).
  • Experience coordinating multi-section courses and working within a standardized curriculum.
  • Familiarity with Pearson MyLab and McGraw Hill ALEKS or similar adaptive learning platforms.
  • Experience incorporating Excel, statistical software, programming, or data analysis tools into instruction.
  • Experience teaching in technology-enhanced or iPad-based learning environment.
  • Experience teaching statistics, data science, applied mathematics, and upper-level mathematics courses such as Partial Differential Equations, Numerical Analysis, Mathematical Modeling, Complex Analysis.
  • Higher education teaching: 1 year (Preferred).
Job Type
  • Full-time Schedule: Monday to Friday, weekends as needed.
  • In-person work location.
Equal Employment Opportunity

St. Thomas University is an equal opportunity employer that promotes a diverse and inclusive organization. It is the policy of the University to fill each vacancy with the candidate who represents the best fit for the position and to promote and transfer employees from within whenever possible and practical. Employment decisions are made on the basis of the candidateโ€™s personal capabilities, qualifications, and ability to assist the University in fulfilling its mission without discrimination.

E-Verify

St. Thomas University is an E-Verify employer. E-Verify is an Internet-based system that allows an employer, using information reported on an employee's Form Iโ€‘9, Employment Eligibility Verification, to determine the eligibility of that employee to work in the United States. STU will utilize E-Verify to verify employment eligibility for all newly hired employees.

#J-18808-Ljbffr