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Weekday Partial Differential Equations Jobs (NOW HIRING)

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 · 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

IL · 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.

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.

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Infographic showing various Weekday Partial Differential Equations job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 17% Part Time, and 4% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Assistant Professor/Instructor, Applied Mathematics and Data Science

St Thomas University

Miami Gardens, FL • 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 candidate’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 I‑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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