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Numerical Methods Jobs in Maryland (NOW HIRING)

Post-doctoral Associate

College Park, MD ยท On-site

$48K - $65K/yr

Extensive programming and numerical methods experience in C++, FORTRAN and Python is a prerequisite, as is a research background in Soil Science, Hydrology and/or Agronomy. Demonstrated programming ...

Applied Mathematics Tutor

Baltimore, MD 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.

Applied Mathematics Tutor

Bowie, MD 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

Laurel, MD 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

Rockville, MD 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.

Differential Equations Tutor

Laurel, MD ยท Remote

$18 - $40/hr

... and numerical methods. Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications.

Differential Equations Tutor

Bowie, MD ยท Remote

$18 - $40/hr

... and numerical methods. Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications.

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Numerical Methods information

See Maryland salary details

$26.7K

$55.1K

$58.7K

How much do numerical methods jobs pay per year?

As of Sep 9, 2026, the average yearly pay for numerical methods in Maryland is $55,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,700.00 per year, depending on experience, location, and employer.

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 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 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 do numerical methods do?

Numerical methods are techniques used by professionals in computational fields to approximate solutions to mathematical problems that are difficult or impossible to solve analytically. They involve algorithms and software tools to perform calculations efficiently, often used in engineering, science, and data analysis to model and simulate real-world systems.

What are popular job titles related to Numerical Methods jobs in Maryland?

For Numerical Methods jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Numerical Methods job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $55,052 per year, or $26.5 per hour.

Post-doctoral Associate

College Park, MD โ€ข On-site

$48K - $65K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description SummaryOrganization's Summary Statement:
The Agroecology Lab at the University of Maryland and the Adaptive Crops and Systems Laboratory at the USDA-ARS Beltsville Agricultural Research Center is seeking a creative and motivated Post-Doctoral Associate. The Post-Doctoral Associate will apply and extend existing soil-crop process models to agricultural systems affected by coastal stressors, such as saltwater intrusion and flooding. This position is part of ongoing research to better understand the impacts of saltwater intrusion, soil hydrology, and crop response on the Delmarva (MD, DE, VA) Peninsula and beyond. We encourage candidates from a range of modeling and soil/water science backgrounds to apply. This position is based at the University of Maryland, College Park, MD, with some work to be conducted at USDA-ARS in Beltsville, MD. This position is not available for visa sponsorship.
Duties and Responsibilities: This position is funded through a cooperative agreement between the UMD Department of Plant Science and Landscape Architecture and the USDA-ARS Adaptive Crops and Systems Laboratory. The candidate will adapt and apply an existing Finite Element Model (2DSOIL) for soil and water solute transport to agricultural systems experiencing saltwater intrusion and flooding. The applicant will be expected to:
Adapt existing soil-crop models to simulate salt and water movement in fields affected by saltwater intrusion and coastal flooding on the Delmarva Peninsula.
Assist with the development of algorithms to simulate flooding and salinity effects on root growth and plant processes such as photosynthesis.
Develop or refine algorithms to simulate salinity effects on root growth, water uptake, and plant physiological processes.
Identify, compile, and use field and literature data for model parameterization, testing, and evaluation.
Contribute to mulch decomposition and nitrogen cycling model components relevant to cover crop and transitional farming systems.
Participate in ongoing projects in the ARS and UMD labs and provide numerical modeling support as needed.
Collaborate with scientists and graduate students who are collecting data on saline and periodically flooded soils, and crop performance under salt stress.
Support with training of graduate students in model application.
Prepare peer-reviewed manuscripts and technical reports based on modeling results.
Qualifications:
Ph.D. in Soil Science, Agricultural Engineering, Civil Engineering, or a related environmental science field with a strong emphasis on applied mathematics, numerical methods, and modeling is required. Candidates must have:
A research background in soil science, hydrology, and/or agronomy.
Experience with soil process simulation models (e.g., finite element, finite difference, or other process-based crop/soil models).
Proficiency in at least one scientific programming language (e.g., Python, R, MATLAB, C++, or FORTRAN)
Experience with salinity, waterlogging, and/or abiotic stress processes in soil-plant-water models.
Familiarity with coastal or transitional agricultural systems, particularly in the Mid-Atlantic U.S.A.
Demonstrated publication record in relevant areas.
Physical Demands:
Preferences:
Experience with agriculture and soils is strongly preferred. Specific Abilities/Experience required: Extensive programming and numerical methods experience in C++, FORTRAN and Python is a prerequisite, as is a research background in Soil Science, Hydrology and/or Agronomy. Demonstrated programming experience with soil process simulation models such as finite element and finite difference models, and experience with numerical methods and applied mathematics is strongly preferred. Ability to obtain a USDA security clearance for on-site access to US government resources and systems.
Licenses/ Certifications:Additional Job Details

Minimum Qualifications:
Ph.D. in Soil Science, Agricultural Engineering, Civil Engineering, or a related environmental science field with a strong emphasis on applied mathematics, numerical methods, and modeling is required. Candidates must have:
A research background in soil science, hydrology, and/or agronomy.
Experience with soil process simulation models (e.g., finite element, finite difference, or other process-based crop/soil models).
Proficiency in at least one scientific programming language (e.g., Python, R, MATLAB, C++, or FORTRAN)

Preferred Qualifications:

Experience with salinity, waterlogging, and/or abiotic stress processes in soil-plant-water models; Familiarity with coastal or transitional agricultural systems, particularly in the Mid-Atlantic U.S.A.; Demonstrated publication record in relevant areas.

Required Application Materials: Cover Letter highlighting relevant experience and research interests, CV, contact information for 3 references

Best Consideration Date: 8/24/2026

Posting Close Date: 9/01/2026

Open Until Filled: YES

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentAGNR-Plant Science & Landscape ArchitectureWorker Sub-Type Faculty RegularSalary Range$55,000- $65,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

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