... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
Post-Doctoral Fellow AF7770
Stillwater, OK · On-site
$46K - $62K/yr
Develop interpretable data-driven and physics-informed models for LEV state prediction from experimental measurements. * Apply sparse system identification, machine learning, and reduced-order ...
Post-Doctoral Fellow AF7770
Stillwater, OK · On-site
$46K - $62K/yr
Develop interpretable data-driven and physics-informed models for LEV state prediction from experimental measurements. * Apply sparse system identification, machine learning, and reduced-order ...
Machine Learning Modeling Engineer , Cell Manufacturing
Fremont, CA · On-site
$92 - $196/hr
Develop physics-informed machine learning models that incorporate electrochemical domain knowledge * Work with large-scale manufacturing datasets using Python, SQL, and distributed computing ...
Machine Learning Modeling Engineer , Cell Manufacturing
Fremont, CA · On-site
$92 - $196/hr
Develop physics-informed machine learning models that incorporate electrochemical domain knowledge * Work with large-scale manufacturing datasets using Python, SQL, and distributed computing ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
Postdoctoral Appointee - AI for Synchrotron Imaging
Lemont, IL · On-site
$49K - $67K/yr
Preferred : • Experience with synchrotron or tomographic imaging datasets. • Background in inverse problems or physics-informed machine learning. • Exposure to scientific imaging applications ...
Postdoctoral Appointee - AI for Synchrotron Imaging
Lemont, IL · On-site
$49K - $67K/yr
Preferred : • Experience with synchrotron or tomographic imaging datasets. • Background in inverse problems or physics-informed machine learning. • Exposure to scientific imaging applications ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructure Advanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
... Physics-informed machine learning for energy applications • Future mobility, autonomous transportation and smart infrastructureAdvanced Manufacturing • Smart manufacturing and industrial AI • ...
Machine Learning Engineer
Austin, TX · On-site
$170K - $250K/yr
Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre ...
New
Machine Learning Engineer
Austin, TX · On-site
$170K - $250K/yr
Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre ...
New
Research Data Scientist
Idaho Falls, ID · On-site
$79 - $195/hr
Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and ...
New
Research Data Scientist
Idaho Falls, ID · On-site
$79 - $195/hr
Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and ...
New
Research Data Scientist
Idaho Falls, ID · On-site
Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and ...
Research Data Scientist
Idaho Falls, ID · On-site
Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and ...
Post-Doctoral Fellow AF7770
$46K - $62K/yr
Develop interpretable data-driven and physics-informed models for LEV state prediction from experimental measurements. * Apply sparse system identification, machine learning, and reduced-order ...
Post-Doctoral Fellow AF7770
$46K - $62K/yr
Develop interpretable data-driven and physics-informed models for LEV state prediction from experimental measurements. * Apply sparse system identification, machine learning, and reduced-order ...
Key Responsibilities • Develop advanced machine learning, deep learning, and generative AI models ... physics-informed neural networks, or uncertainty quantification. • Track record of journal or ...
Key Responsibilities • Develop advanced machine learning, deep learning, and generative AI models ... physics-informed neural networks, or uncertainty quantification. • Track record of journal or ...
Research Scientist
Baltimore, MD · Remote
$120K - $150K/yr
Design and implement physics-informed machine learning models to improve predictive accuracy * Quickly learn and apply new tools, datasets, and methods to address evolving project needs * Apply ...
Quick apply
Research Scientist
Baltimore, MD · Remote
$120K - $150K/yr
Design and implement physics-informed machine learning models to improve predictive accuracy * Quickly learn and apply new tools, datasets, and methods to address evolving project needs * Apply ...
Key Responsibilities Develop advanced machine learning, deep learning, and generative AI models in ... physics-informed neural networks, or uncertainty quantification. Track record of journal or ...
Key Responsibilities Develop advanced machine learning, deep learning, and generative AI models in ... physics-informed neural networks, or uncertainty quantification. Track record of journal or ...
Key Responsibilities • Develop advanced machine learning, deep learning, and generative AI models ... physics-informed neural networks, or uncertainty quantification. • Track record of journal or ...
Key Responsibilities • Develop advanced machine learning, deep learning, and generative AI models ... physics-informed neural networks, or uncertainty quantification. • Track record of journal or ...
Physics Informed Machine Learning information
See salary details
$5.29 - $7.12
0% of jobs
$7.12 - $8.96
0% of jobs
$8.96 - $10.80
0% of jobs
$10.80 - $12.63
24% of jobs
$12.72 is the 25th percentile. Wages below this are outliers.
$12.63 - $14.47
16% of jobs
$14.47 - $16.30
0% of jobs
$16.30 - $18.14
0% of jobs
$18.14 - $19.97
0% of jobs
$19.97 - $21.81
0% of jobs
The median wage is $22.25 / hr.
$21.81 - $23.65
40% of jobs
$23.65 - $25.48
19% of jobs
$5
$20
$25
How much do physics informed machine learning jobs pay per hour?
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 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 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 cities are hiring for Physics Informed Machine Learning jobs?
Cities with the most Physics Informed Machine Learning job openings:
What states have the most Physics Informed Machine Learning jobs?
States with the most job openings for Physics Informed Machine Learning jobs include:
What job categories do people searching Physics Informed Machine Learning jobs look for?
The top searched job categories for Physics Informed Machine Learning jobs are:

Mechanical Engineering - Associate Professor - 530031
Tuscaloosa, AL • On-site
Full-time
Posted 27 days ago
University Of Alabama rating
7.1
Based on 60 frontline employees who took The Breakroom Quiz
411th of 620 rated colleges and universities
Job description
What University Of Alabama employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About University of Alabama
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Tuscaloosa, AL, US
Year founded
1831