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Numerical Methods Jobs (NOW HIRING)

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 ...

Research Engineer, Inference

New York, NY · On-site

$250K - $325K/yr

Design numerical methods that exploit thermal noise and analog dynamics rather than working around them. * Evaluation & Benchmarks: Build evaluation frameworks and benchmarks that characterize ...

New

Credit Quantitative Analyst

New York, NY · On-site

$175K - $250K/yr

Implement and maintain the models, robust and efficient numerical methods for pricing, valuation, and risk management within the existing C++ quantitative library. * Enhance and maintain the ...

Develop and improve numerical models for fluid flow and transport phenomena. Collaborate with engineering and research teams on simulation-driven projects. Document methodologies, results, and ...

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How much do numerical methods jobs pay per year?

As of Jul 8, 2026, the average yearly pay for numerical methods in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the top 5 math careers that pay well?

Numerical methods professionals often find high-paying careers in quantitative analysis, data science, financial engineering, operations research, and actuarial science. These roles typically require strong analytical skills, proficiency in programming and statistical tools, and often advanced degrees or certifications. Salaries vary by industry and experience but are generally above average for technical roles in mathematics.

What are the key skills and qualifications needed to thrive in the Numerical Methods position, and why are they important?

To thrive in a Numerical Methods role, a strong background in applied mathematics, computational modeling, and problem-solving is essential, often supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or FORTRAN, and experience with numerical analysis software, are commonly required. Analytical thinking, teamwork, and effective communication are vital soft skills to excel in this position. These competencies are crucial for accurately analyzing complex data and collaborating across multidisciplinary teams to develop reliable computational solutions.

What career works with numbers?

A career in numerical methods involves working with mathematical models, algorithms, and data analysis to solve complex problems. Professionals in this field often work as data analysts, quantitative analysts, or computational scientists, utilizing tools like MATLAB, Python, or R. Strong analytical skills and a background in mathematics or engineering are typically required.

What are some common projects or problems handled by professionals specializing in Numerical Methods?

Professionals specializing in Numerical Methods typically work on projects involving the development and implementation of algorithms to solve mathematical models for engineering, physics, finance, or data science applications. Common responsibilities include simulating physical systems, optimizing processes, or analyzing large data sets using numerical techniques. These roles often involve close collaboration with engineers, scientists, or analysts to translate real-world problems into computational form and validate results against experimental data. The projects are diverse, providing ample opportunities to deepen expertise in both theoretical and practical aspects of numerical analysis.

What is a Numerical Methods job?

A Numerical Methods job involves developing, analyzing, and implementing algorithms to solve mathematical problems numerically. Professionals in this field work on optimizing computations for engineering, physics, finance, and other scientific applications. They use programming languages like Python, MATLAB, or C++ to create efficient and accurate numerical solutions. These jobs are common in industries such as aerospace, data science, and applied mathematics, where analytical models are essential for decision-making and simulations.

What are the real life applications of numerical methods?

Numerical methods are essential in various fields such as engineering, finance, and scientific research, where they are used to solve complex mathematical models, optimize systems, and analyze data. As a numerical analyst, applying algorithms and computational tools helps in modeling real-world phenomena like weather prediction, structural analysis, and financial forecasting.

What jobs use numerical analysis?

Numerical analysis is used in a variety of jobs such as data scientist, quantitative analyst, engineer, and researcher, where mathematical modeling and computational techniques are essential. These roles often require proficiency with programming languages like Python or MATLAB and involve solving complex mathematical problems, optimizing systems, or analyzing large data sets.
More about Numerical Methods jobs
What are the most commonly searched types of Numerical Methods jobs? The most popular types of Numerical Methods jobs are:
What states have the most Numerical Methods jobs? States with the most job openings for Numerical Methods jobs include:
Infographic showing various Numerical Methods job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.
Postdoctoral Associate

Postdoctoral Associate

Virginia Tech

Blacksburg, VA • On-site

Other

Re-posted 15 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

196th of 546 rated colleges and universities


Job description

Postdoctoral Associate

Apply now Back to search results 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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About Virginia Tech

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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.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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