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Physics Informed Machine Learning Jobs in Springfield, OH

Lead Signal Processing Researcher

Dayton, OH ยท On-site

$173K - $216K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Lead Signal Processing Researcher

Dayton, OH ยท On-site

$173K - $216K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex ... Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ...

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Physics Informed Machine Learning information

See Springfield, OH salary details

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How much do physics informed machine learning jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for physics informed machine learning in Springfield, OH is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $11.25 and $22.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What cities near Springfield, OH are hiring for Physics Informed Machine Learning jobs? Cities near Springfield, OH with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Springfield, OH 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 $37,589 per year, or $18.1 per hour.

EW Modeling & Simulation Engineer with Security Clearance

Kforce Federal Solutions

Beavercreek, OH โ€ข On-site

$90K - $105K/yr

Other

Posted 9 days ago


Job description

Electronic Warfare Modeling & Simulation Engineer (Mid-Level)
Location: Beavercreek, OH
Schedule: Full-Time
Compensation: $90,000 - $105,000 Annual Salary A growing defense technology team is seeking a Mid-Level Electronic Warfare Modeling & Simulation Engineer to support the development of advanced radio frequency (RF) spectrum capabilities for mission-critical programs.
This role is ideal for an engineer or physicist with experience in signal processing, radar systems, and software development who is interested in supporting the design, analysis, and modeling of current and emerging electronic warfare technologies. The selected candidate will contribute to the development of simulation environments, algorithms, and analytical tools used to evaluate complex RF systems and operational scenarios.
Key Responsibilities Develop and enhance modeling and simulation solutions supporting RF spectrum and electronic warfare applications
Design and implement algorithms that model radar, sensor, and signal processing functionality
Develop software tools and simulations using C, C++, Python, MATLAB, or related technologies
Support the analysis and evaluation of electronic warfare techniques, concepts, and system performance
Model existing and emerging ground-based defense systems and RF environments
Participate in architecture development, framework design, and technical assessments
Analyze system performance and recommend improvements to modeling approaches and algorithms
Collaborate with engineers, analysts, and subject matter experts to support mission-focused solutions
Contribute throughout the software development lifecycle, including design, implementation, testing, validation, and documentation
Support technical reviews, experimentation activities, and model validation efforts Required Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related technical discipline
5+ years of experience in radar analysis, signal processing, RF engineering, or related technical fields
Experience with digital signal processing concepts and techniques
Proficiency developing software in C, C++, Python, or similar programming languages
Ability to work independently as well as within a collaborative engineering team environment
Strong analytical and problem-solving skills
Ability to obtain and maintain a security clearance Preferred Qualifications Experience supporting Agile software development environments
Knowledge of electronic warfare concepts, RF systems, signals analysis, or mission-level analysis
Experience applying statistical methods, optimization techniques, artificial intelligence, or machine learning approaches
Experience developing simulation models or analytical frameworks
Master's degree in Electrical Engineering or related discipline
Doctoral degree in a relevant technical field is a plus
Active security clearance Desired Skills Radar Signal Processing
Electronic Warfare Analysis
RF Modeling & Simulation
Algorithm Development
C/C++
Python
MATLAB
Machine Learning
Statistical Analysis
Systems Modeling
Technical Research
Software Development What You'll Bring Strong foundation in RF systems, signal processing, or electronic warfare technologies
Ability to solve complex technical problems in a mission-focused environment
Desire to work on cutting-edge defense and national security challenges
Strong communication and collaboration skills
Interest in advancing the state of the art in modeling and simulation technologies Work Environment Collaborative engineering team supporting advanced defense technologies
Opportunity to work on emerging electronic warfare and RF spectrum challenges
Exposure to cutting-edge modeling, simulation, and analytical tools
Fast-paced environment supporting mission-critical initiatives
Career growth opportunities within advanced research, development, and engineering programs