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Internship 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

WY 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

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

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.

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.

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.

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Internship Partial Differential Equations information

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How much do internship partial differential equations jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship partial differential equations in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Partial Differential Equations vs Research Assistant in Applied Mathematics?

AspectInternship Partial Differential EquationsResearch Assistant in Applied Mathematics
Required CredentialsUndergraduate or early graduate level, basic math courseworkGraduate degree or pursuing a master's/PhD in applied mathematics
Work EnvironmentInternship setting, often in academic or research institutionsResearch labs, universities, or industry research teams
Employer & Industry UsageAcademic research projects, internships at universities or research centersResearch projects in academia, government, or industry

While both roles involve applied mathematics and partial differential equations, an internship typically offers entry-level experience for undergraduates, focusing on learning and supporting research. A research assistant position usually requires advanced education and involves more independent research responsibilities in applied mathematics.

What jobs use internship partial differential equations?

Jobs that utilize partial differential equations include roles in applied mathematics, physics, engineering, and computational modeling. These positions often involve developing simulations, solving complex physical problems, or conducting research in areas such as fluid dynamics, heat transfer, and structural analysis, requiring strong analytical and programming skills. Internships in these fields provide practical experience with mathematical modeling and numerical methods.
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What cities are hiring for Internship Partial Differential Equations jobs?

Cities with the most Internship Partial Differential Equations job openings:

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

The most popular types of Partial Differential Equations jobs are:

What states have the most Internship Partial Differential Equations jobs?

States with the most job openings for Internship Partial Differential Equations jobs include:

Infographic showing various Internship Partial Differential Equations job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,867 per year, or $25.4 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 1 hour 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.

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