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Partial Differential Equations Postdoctoral Jobs

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 534113 Work type: Research Faculty ... partial differential equations. Experience in implementation of numerical methods. Interest and ...

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Partial Differential Equations Postdoctoral information

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How much do partial differential equations postdoctoral jobs pay per year?

As of Jul 13, 2026, the average yearly pay for partial differential equations postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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

AspectPartial Differential Equations PostdoctoralComputational Mathematician
Required CredentialsPhD in Mathematics or related fieldPhD in Mathematics, Applied Mathematics, or Computer Science
Work EnvironmentAcademic research, university labsResearch institutions, industry, academia
Industry UsageAcademic publishing, research grantsModeling, simulations, software development
Common Search IntentResearch positions, academic careersApplied research, industry roles

The Partial Differential Equations Postdoctoral role focuses on academic research in PDE theory, often within universities. In contrast, a Computational Mathematician applies mathematical techniques to real-world problems using computational methods, often in industry or research labs. While both roles require advanced degrees and strong mathematical skills, their work environments and application areas differ significantly.

What are Partial Differential Equations (PDE) Postdoctoral positions?

Partial Differential Equations (PDE) Postdoctoral positions are research-focused roles typically held after completing a Ph.D. in mathematics or a related field. These positions involve conducting advanced research on partial differential equations, which are mathematical equations involving functions and their partial derivatives. Postdocs in this area may work on theoretical analysis, numerical methods, or applications of PDEs to physics, engineering, or other sciences. They often collaborate with faculty, publish research, and may have some teaching responsibilities. The goal is to further develop expertise and contribute to the field before moving on to permanent academic or research positions.

What types of research collaborations are common for a Partial Differential Equations Postdoctoral position?

Partial Differential Equations (PDE) postdocs typically collaborate closely with faculty, graduate students, and sometimes researchers from interdisciplinary fields such as physics, engineering, or computer science. These collaborations may involve joint research projects, co-authoring papers, or contributing to grant proposals. Working as part of a research group provides valuable opportunities to exchange ideas, receive mentorship, and develop a well-rounded research portfolio. Building strong professional relationships can also open doors for future academic or industry positions.

What are the key skills and qualifications needed to thrive as a Partial Differential Equations Postdoctoral researcher, and why are they important?

To thrive as a Partial Differential Equations Postdoctoral researcher, you need an advanced degree (usually a Ph.D.) in mathematics or a related field with a strong background in analysis and PDE theory. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, along with experience in numerical methods and possibly high-performance computing, is typically required. Strong analytical thinking, problem-solving abilities, and effective scientific communication are standout soft skills in this position. These skills are essential for conducting rigorous research, publishing results, and collaborating on complex mathematical challenges.
What cities are hiring for Partial Differential Equations Postdoctoral jobs? Cities with the most Partial Differential Equations Postdoctoral job openings:
What states have the most Partial Differential Equations Postdoctoral jobs? States with the most job openings for Partial Differential Equations Postdoctoral jobs include:
What job categories do people searching Partial Differential Equations Postdoctoral jobs look for? The top searched job categories for Partial Differential Equations Postdoctoral jobs are:
Partial Differential Equations Postdoctoral jobs near you
Infographic showing various Partial Differential Equations Postdoctoral job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Associate

Postdoctoral Associate

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site

Full-time

Re-posted 20 days ago

Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

200th of 553 rated colleges and universities

Job description

Postdoctoral Associate
Job no: 534113
Work type: Research Faculty
Senior management: College of Science
Department: Mathematics
Location: Blacksburg, Virginia
Categories: Instructional / Teaching Faculty, Research / Scientific
Job Description
Applications are invited for one Postdoctoral Associate position with the Department of
Mathematics at Virginia Tech, Blacksburg, VA. The postdoctoral fellow will work under the supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order models and machine learning techniques for kinetic equations arising from plasma and neutron transport.
The position will be based at Virginia Tech's campus in Blacksburg, VA. The postdoc will have a teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance.
Required Qualifications
• A PhD in Mathematics or an equivalent area, and with a strong background in numerical analysis and scientific computing. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Strong background in the development and/or application of numerical methods for partial differential equations.
• Experience in implementation of numerical methods.
• Interest and experience in at least one application from the areas mentioned above.
• Ability to work with others in an interdisciplinary environment.
Preferred Qualifications
• Experience with the scientific computing library and parallel programming.
• Experience with writing scientific articles.
• Experience with writing scientific machine learning.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Commensurate with experience
Hours per week
40 hours - exempt position
Review Date
December 1, 2025
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Sarah McDearis at sworl9@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: February 23, 2026
Applications close:
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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

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Year founded

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