Top 14 Dynamics engineer/applied mathematician Jobs in United States

Applied Computational Mathematician / Engineer
Gustaine —Orange, CA
- Multiple hires
- 5 years
- Bachelor of Science
- Analysis skills
Modeling, Simulation, and Analysis Technical Lead
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Research
- Analysis skills
- Disability insurance
- Health insurance
Applied Mathematician- Multi-Object Tracking
General Atomics —Charlottesville, VA
- $98,100 - $171,398 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- Java
- Relocation assistance
8d
2026 Graduate - Engineer/Analyst - System Modeling, Evaluation, and Planning
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $165,000 a year
- Full-time
- Computer Science
- System design
- Mechanical knowledge
- Disability insurance
- Health insurance
Geolocation DSP Engineer
Rincon Research Corp —Tucson, AZ
- $110,000 - $148,000 a year
- Full-time
- 5 years
- System design
- Office
- Disability insurance
- Health insurance
Quick Apply
Associate Staff - Engineering
MIT Lincoln Laboratory —Lexington, MA
- $116,400 - $182,200 a year
- 5 years
- Bachelor of Science
- Analysis skills
- Health insurance
- Dental insurance
Mission Data Engineer (TS/SCI with Polygraph required)
Red Alpha —Chantilly, VA
- $175,000 - $235,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Team management
- Paid holidays
- Health insurance
Electronic Attack Analyst
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Research
- Analysis skills
- Disability insurance
- Health insurance
Data Scientist - Multiple Levels (TS/SCI with Poly Required)
Red Alpha —Annapolis Junction, MD
- $95,000 - $235,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Java
- Paid holidays
- Health insurance
2026 PhD Graduate - System Modeling, Evaluation, and Planning
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $245,000 a year
- Full-time
- Computer Science
- System design
- Math
- Disability insurance
- Health insurance
Postdoctoral Scholar
Lawrence Berkeley National Laboratory —San Francisco Bay Area, CA
- $8,570 - $9,935 a month
- Full-time
- Background check
- Computer Science
- 3 years
- Health insurance
- 401(k)
Senior Data Scientist (TS/SCI with Poly Required)
Red Alpha —Annapolis Junction, MD
- $160,000 - $235,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- 3 years
- Paid holidays
- Health insurance

I want to receive the latest job alert for dynamics engineer/applied mathematician in united states

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

dynamics engineer/applied mathematician jobs near united states

Data Scientist jobs in Charlottesville, VA

Postdoctoral Scholar jobs in San Francisco Bay Area, CA

Data Scientist jobs in Annapolis Junction, MD

Modeling & Simulation Specialist jobs in Laurel, MD

Dsp Engineer jobs in Tucson, AZ

Data Engineer jobs in Chantilly, VA

Data Scientist jobs in Indiana

Data Scientist jobs in Memphis, TN

Data Science Flexible Hours jobs in Remote

Pharmaceutical Scientist jobs in New Jersey

Data Scientist jobs in Connecticut

Data Scientist jobs in Arlington, VA

Data Analyst jobs in Westchester County, NY

Senior Data Scientist jobs in Brooklyn, NY

Senior Data Scientist jobs in Alpharetta, GA

Senior Data Scientist jobs in Hartford, CT

Medical Laboratory Scientist jobs in Aurora, CO

Senior Data Scientist jobs in New York, NY

Live Drawing Model jobs in Detroit, MI

Promotional Model jobs in Washington, DC

Applied Computational Mathematician / Engineer

Gustaine
Orange, CA

Apply Now

Job Details

Qualifications

Numerical modeling
High-performance computing clusters
Algorithm design
Simulation analysis

Full Job Description

Number of positions: 100

We are searching for an applied computational mathematician/ engineer/ scholar to leader next-generation, complex, stochastic predictive simulations in a business practical real world scenario.

The position demands utilizing expertise in 1 or many of the of the following i.e. Applied mathematics, Statistics and computational science with the objective of enabling uncertainty quantification and measurement at an extreme scale in a real world scenario across the following industries

o Telecommunications
o Biopharmaceuticals
o Metals & Mining
o Public Sector
o Consumer Products
o Process Industries
o Infrastructure
o Financial Institutions
o Retail
o Hardware & Software
o Social Welfare
o Health Care
o Telecommunications
o Insurance
o Consumer Products
o Media and Networks
o Oil & Gas
o Retail
o Utilities & Alternative Energy
o Medical Devices & Technology
o Automotive
o Transportation
o Travel & Tourism
o Airlines & Transportation
o Financial Services
o Industrial Services

The individual would be required to demonstrate scenario planning and visualize possibilities in a practical scenario setting

He should be able to communicate complex terminologies in a practical setting to a business audience

RESPONSIBILITIES

Fundamental responsibilities included

a. Participating in the development of Uncertainty Quantification & Measurement methodologies necessary for informed fact based decision-making
b. Design and execution of scalable numerical methods for Uncertainty Quantification and Measurement
c. Collaboration with experts in the above industry in 1 or many of the following area Statistics, Operations Research, Computer Engineering, Computer Sciences, Economics, Bio-Statistics, Bio-Informatics in the above industries
d. Design of experiments and building models with an expertise in the design and implementation of numerical algorithms and methods in one or more high-level computing languages within a team environment

Specialization in 1 or many of the following:

1. Model reduction
2. High-performance computing
3. PDE-constrained optimization
4. Computational fluid dynamics
5. Computational structural mechanics
6. Markovian Decision Processes

The individual should have applied 1 or many of the following in a practical setting/ scenario. Whilst applying /interviewing for the following position the individual would be required to talk and demonstrate how he or she has applied or will apply the following

Stochastic collocation and Galerkin methods

• Multilevel and reduced order methods
• Linear and Eigenvalue solvers
• Hierarchical and low-discrepancy sampling
• High-dimensional interpolation and integration

QUALIFICATIONS REQUIRED

o The minimum required education is a BS/MS/ Ph.D. in applied mathematics, computational science or related field.
o Strong background in stochastic differential equations, partial differential equations, numerical analysis, methods for uncertainty quantification and high-performance computing.
o Excellent soft skills
o Tested written and oral communication skills
o Extensive expertise in numerical analysis of stochastic PDEs
o Experience in the development of large-scale numerical algorithms and simulation codes

Additional Information: Applicants should have received their latest degree not more than 5 years before making the application. All degree requirements must be completed before the starting of appointment.

We are necessarily not interested in individuals having all of the traits outlined above and below in as much that he/she has a willingness to acquire capabilities and has expertise in some of the areas. We will work with the specific individual to help him/her succeed.

For obvious reasons preference would be given to individuals having demonstrated knowledge and expertise in many of the following.

Send in your resume: [email protected]

Major Duties/Responsibilities

The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratorys missions. Specific responsibilities include participating in the development of novel UQ methodologies necessary to facilitate science-informed decision-making, design and implementation of scalable numerical methods for UQ, collaboration with experts from various scientific disciplines on UQ and applications, and following team planning, goals and quality processes.

Qualifications Required

Minimum Qualifications: The minimum required education is a Ph.D. in applied mathematics, computational science or related field. Strong background in stochastic differential equations, partial differential equations, numerical analysis, methods for uncertainty quantification and high-performance computing. Expertise in more than one area of particular relevance to simulations of interest, such as:

Stochastic collocation and Galerkin methods
Multilevel and reduced order methods
Linear and eigenvalue solvers
Hierarchical and low-discrepancy sampling
High-dimensional interpolation and integration
Design of experiments Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages within a team environment
Effective interpersonal skills.
Demonstrated written and oral communication skills.
Candidates must have a proven publication track record.

Preferred Qualifications: Experience working in a multi-disciplinary research environment. Extensive expertise in numerical analysis of stochastic PDEs Experience in the development of large-scale numerical algorithms and simulation codes.Additional Information:Applicants cannot have received the most recent degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment.
Send in your resume: [email protected]

Apply Now

Refine Your Search

dynamics engineer/applied mathematician jobs in united states

Applied Computational Mathematician / Engineer

Modeling, Simulation, and Analysis Technical Lead

Applied Mathematician- Multi-Object Tracking

2026 Graduate - Engineer/Analyst - System Modeling, Evaluation, and Planning

Geolocation DSP Engineer

Associate Staff - Engineering

Mission Data Engineer (TS/SCI with Polygraph required)

Electronic Attack Analyst

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

2026 PhD Graduate - System Modeling, Evaluation, and Planning

Postdoctoral Scholar

Senior Data Scientist (TS/SCI with Poly Required)

I want to receive the latest job alert for dynamics engineer/applied mathematician in united states

Explore jobs in more locations

Major Duties/Responsibilities

Qualifications Required

Job Seeker Tools

Employer Tools

Browse

Stay Connected