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Full Time Partial Differential Equations Jobs (NOW HIRING)

Tuskegee University

Strong consideration will be given to applicants who can teach partial differential equations and ... Ability to view a computer terminal FLSA Exempt Status Full-Time Skills and Attributes Knowledge:

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$55.5K

$74.9K

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How much do full time partial differential equations jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time partial differential equations in the United States is $74,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a full time partial differential equations job?

Full Time Partial Differential Equations (PDE) jobs refer to positions where professionals work primarily with partial differential equations in a full-time capacity. These roles are typically found in academic research, applied mathematics, engineering, finance, and data science sectors. Duties may include modeling physical phenomena, developing numerical methods, performing simulations, and teaching or publishing research. Candidates usually have advanced degrees in mathematics, physics, or related fields and strong analytical skills. Employers value experience with computational tools and programming languages relevant to solving PDEs.

What are the key skills and qualifications needed to thrive as a partial differential equations specialist?

To thrive as a Partial Differential Equations (PDE) Specialist, you need an advanced degree in mathematics or applied mathematics, with a deep understanding of differential equations and mathematical analysis. Expertise in computational tools such as MATLAB, Mathematica, or Python, and familiarity with numerical methods, is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you tackle complex problems and explain findings to diverse audiences. These skills are crucial for developing accurate models and solutions in fields like engineering, physics, and finance where PDEs are foundational.

What are the typical collaborative opportunities for someone working full-time in partial differential equations?

Professionals working full-time in Partial Differential Equations often collaborate closely with interdisciplinary teams, including applied mathematicians, physicists, engineers, and computer scientists. These collaborations are crucial for developing mathematical models, analyzing complex systems, and implementing computational solutions. Teamwork typically involves regular meetings to discuss progress, share results, and troubleshoot challenges, especially when working on large-scale research projects or industry applications. Such collaborative environments foster knowledge exchange and can lead to new research directions or innovative applications of PDEs.

What is the difference between Full Time Partial Differential Equations vs Computational Mathematician?

AspectFull Time Partial Differential EquationsComputational Mathematician
Required credentialsAdvanced degrees in mathematics or applied math, specialization in PDEsMathematics, computer science, or engineering degrees, with programming skills
Work environmentResearch labs, academia, or industry R&D teams focused on modelingResearch institutions, tech companies, or academia involving algorithm development
Industry usageEngineering, physics, finance, and applied sciencesData analysis, simulation, algorithm design across various sectors

Full Time Partial Differential Equations specialists focus on solving and analyzing PDEs, often in research or applied contexts. Computational Mathematicians develop algorithms and computational methods, frequently working with PDEs but also broader mathematical problems. Both roles require strong math backgrounds, but their focus areas and work environments differ.

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Full Time Partial Differential Equations jobs near you
Infographic showing various Full Time 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 $74,877 per year, or $36 per hour.

Assistant Professor/Instructor, Applied Mathematics and Data Science

ST THOMAS UNIVERSITY INC

Miami Gardens, FL • On-site

Full-time

Re-posted 29 days ago

Job description

About Us

Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers more than 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include an undergraduate major in Applied Mathematics and Data Science. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.

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/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
Preferred Qualifications
  • Ph.D. in Mathematics, Applied Mathematics, Statistics, Data Science, or a related field
  • 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.
About the Department

The Department of Mathematics supports a diverse student population through a coordinated general education curriculum and growing programs in Applied Mathematics and Data Science. Faculty teach across the mathematics curriculum, from general education and lower-division courses through advanced coursework in applied mathematics, modeling, statistics, and data science.

The department emphasizes applied, project-based learning, consistent academic standards across sections, innovative uses of technology, and strong support for student success. Faculty are encouraged to contribute to curriculum development, interdisciplinary collaboration, and the continued expansion of mathematics and data science offerings.

Catholic Identity

St. Thomas University is a Catholic university sponsored by the Archdiocese of Miami committed to academic and professional success guided by its Catholic identity. All employees are therefore expected to respect the teachings of the Roman Catholic Church and support the University’s religious mission. All employees hereby acknowledge their familiarity and support of the religious affiliation, mission and values of St. Thomas University.

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. With regard to the latter, the University’s program of recruiting employees for mission aims to inform prospective employees of the University’s mission and to help them and hiring personnel determine how they will support and contribute to the University’s mission.

 
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.

Job Type:

    • Full-time Schedule:
    • Monday to Friday
    • Weekends as needed Application Question(s):
    • Please provide a cover letter, CV, unofficial transcript, and contact information for three (3) professional references.

Education:

    • Master's (Required)
    • Ph.D. (Preferred)

Experience:

    • Higher education teaching: 1 year (Preferred)

Work Location:

    • In person

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