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Physics Informed Machine Learning Jobs in Springboro, OH

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

... machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns. Job ...

Procter & Gamble

Data AnalystRemote

Mason, OH

... machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns. Job ...

Core4ce

AAIM Lab Lead

Beavercreek, OH

Implement machine learning approaches for both limited and large-scale datasets * Conduct virtual ... Bachelor's degree in computer science, Engineering, Physics, Mathematics, or related technical ...

Core4ce

AAIM Lab Lead

Beavercreek, OH · On-site

$175K - $200K/yr

Implement machine learning approaches for both limited and large-scale datasets * Conduct virtual ... Bachelor's degree in computer science, Engineering, Physics, Mathematics, or related technical ...

Core4ce Careers

AAIM Lab Lead

Beavercreek, OH · On-site

$120 - $180/hr

Implement machine learning approaches for both limited and large‑scale datasets. * Conduct ... Bachelor's degree in computer science, engineering, physics, mathematics, or related technical ...

BAE Systems

Eng Sr - Signal & Image Proc

Dayton, OH · On-site

$88K - $149K/yr

... and building machine learning (ML) models. Beyond remote sensing and software engineering ... Master of Science (MS) or higher in Engineering, Physics, Remote Sensing, Computer Science, or ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

... informed decision-making, improve employee safety, and lessen their environmental footprint while ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

... informed decision-making, improve employee safety, and lessen their environmental footprint while ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

... informed decision-making, improve employee safety, and lessen their environmental footprint while ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

STR

Principal Product Lead (TL2)

Dayton, OH · On-site

$206K - $275K/yr

... physics, and data science. We use our expertise and creativity to take innovative ideas from ... machine learning, statistics, estimation theory, and information theory algorithms for signals ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

... informed decision-making, improve employee safety, and lessen their environmental footprint while ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

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Physics Informed Machine Learning information

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

As of Aug 12, 2026, the average hourly pay for physics informed machine learning in Springboro, OH is $17.69, according to ZipRecruiter salary data. Most workers in this role earn between $11.01 and $22.45 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?

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 Springboro, OH are hiring for Physics Informed Machine Learning jobs? Cities near Springboro, OH with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Associate Researcher - Data Analysis

The University of Dayton

Dayton, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

98th of 618 rated colleges and universities

Job description

Associate Researcher - Data Analysis

Apply now Job No: 503735
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: Advanced Mfg Tech Development - 250551
Pay Grade: R1 - Exempt
Advertised: July 21, 2026
Applications close: August 04, 2026

Position Summary:

The University of Dayton Research Institute's (UDRI) Advanced Manufacturing Technology Development (AMTD) group is seeking an engineer/scientist to drive and manage research in data analysis for metal additive manufacturing (AM). This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data management solutions.

This position will perform research designed to advance current understanding of the effects of laser manufacturing processes on materials through sensor development, implementation, data collection, and data analysis. Work activities may include:

Developing analysis tools to extract physical meaning from in-situ process data
Developing machine learning algorithms to drive correlation between in-situ process data and end part quality, particularly NDE
Data fusion, registration, and calibration of various data streams
Planning and executing design of experiments, particularly involving unique, cutting edge, LPBF strategies
Building and routing of specimens for data collection, characterization, testing, and correlation
Interfacing with data collection and management tools for large datasets
Integrating and modifying in-situ process sensors
Operating, in-situ sensors/suites for laser powder bed fusion machinery
Developing new sensing modalities for understanding of the laser powder bed fusion process

Minimum Qualifications:

A bachelor's degree in engineering or computer science from an accredited University
Coding/programming skills (python preferred)
Effective ability to communicate both written and verbally, work well with others, and think critically and drive a project to completion with little supervision
Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. citizen

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

Hands on experience in the lab with custom and commercial LPBF systems and all supporting equipment
Experience with machine learning concepts
Experience with image processing techniques
Experience with DREAM.3D software
Experience performing design of experiments (DOE's) and statistical analysis
Demonstrated experience with laser-based manufacturing equipment in support of research
Understanding of lasers and optics
Demonstrated experience with sensors for dynamic processes
Understanding of laser/material interaction
Understanding of AM process modeling tools
Demonstrated experience with data acquisition and analysis concepts

Special Instructions to Applicants:

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.

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