1

Physics Informed Machine Learning Jobs in Ohio (NOW HIRING)

Master's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Preferred * 7-9 years Experience in data science, machine learning ...

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 ...

... Physics, Analytics, etc.) or possess equivalent work experience. * Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like ...

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 ...

next page

Showing results 1-20

Physics Informed Machine Learning information

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 in Ohio are hiring for Physics Informed Machine Learning jobs? Cities in Ohio with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Process Modeling Engineer

Process Modeling Engineer

Lubrizol Corporation

Wickliffe, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Lubrizol rating

8.7

Company rating: 8.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

14th of 92 rated chemical manufacturers


Job description

Shape the Future with Us. At Lubrizol, we're transforming the specialty chemicals market through science, sustainability, and a culture of inclusion. As part of our global team, you'll be empowered to make a real impact-on your career, your community, and the world around you.
Job Type: Full-time / On-site
Shift + Hours: 1st Shift
Location: Wickliffe, Ohio or Deer Park, Texas
Travel: 20% or less
How You'll Make an Impact
As an Process Modeling Engineer you'll be at the forefront of our innovation, driving specialty chemical solutions forward. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life.
The Process Modeling Engineer plays a critical role in optimizing and transforming manufacturing performance through advanced process modeling, simulation, and data-driven analysis. This role develops and deploys both physics-based and data-based models to support process design, scale-up, troubleshooting, optimization, and long-term strategic planning. The engineer also leads the creation of modeling standards, training programs, and strategic frameworks that elevate modeling capabilities across the organization.
In this role, you will:
1. Modeling & Technical Execution
• Develop, validate, and maintain physics-based process models (e.g., heat/mass transfer, reaction kinetics, fluid dynamics, unit operations).
• Build and apply data-driven models using statistical, machine learning, or hybrid modeling approaches to identify trends, correlations, and optimization opportunities.
• Conduct steady-state and dynamic simulations for process design, capacity analysis, debottlenecking, and energy efficiency assessments.
• Support troubleshooting and root cause analysis by using modeling to reproduce plant behavior and test hypotheses.
• Collaborate with R&D, operations, and process engineering to translate lab/pilot data into full-scale manufacturing models.
2. Standards & Best Practices
• Develop and maintain modeling standards, documentation practices, and validation protocols to ensure consistency, quality, and sustainability of modeling assets.
• Establish templates, guidelines, and workflows for physics-based and data-driven modeling across the engineering organization.
• Lead governance activities to ensure models are used responsibly, accurately, and with defined lifecycle management.
3. Training & Capability Development
• Design and deliver training programs, workshops, and hands-on sessions for engineers, operators, and technical staff on modeling tools, methodologies, and best practices.
• Mentor engineering teams on model interpretation, limitations, and appropriate use in decision-making.
• Help cultivate a culture of data literacy, model-informed design, and digital fluency across the organization.
4. Strategy & Technology Leadership
• Develop and communicate a strategic roadmap for modeling capabilities, including tool selection, digital technologies, and long-term capability growth.
• Evaluate and integrate emerging modeling technologies-such as AI/ML, advanced simulation platforms, and digital twin solutions.
• Collaborate with global engineering and operations leaders to align modeling strategy with broader engineering, manufacturing, and corporate objectives.
• Provide thought leadership in the areas of advanced analytics, digital process design, and predictive manufacturing.
5. Cross-Functional Collaboration
• Work closely with manufacturing, quality, R&D, EHS, and supply chain teams to ensure models support operational excellence, process safety, and product quality.
• Support capital project teams with modeling contributions for feasibility studies, conceptual design, and detailed engineering.
• Present model results and recommendations to technical and non-technical audiences, including senior leadership.
Required Qualifications that Enable Your Success
  • Master's or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
  • 3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
  • Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
  • Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
  • Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
  • Proficiency in data analysis, statistics, and visualization.
  • Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
  • Ability to integrate lab, pilot, and plant data into robust model frameworks.
  • Strong communication skills with ability to explain complex modeling results clearly.
  • Demonstrated leadership in influencing without authority and driving standards or programs across teams.
  • Structured problem-solving, curiosity, and continuous improvement mindset.

Your Work Environment
At Lubrizol, we're committed to providing a safe, inclusive, and empowering environment where you can do your best work-whether in a lab, on the production floor, or in a hybrid office setting. Depending on your role, your work environment may include:
  • Standing, walking, or operating equipment for extended periods
  • Working in a lab or manufacturing setting with appropriate PPE provided
  • Use of computers and digital tools in an office or hybrid environment
  • Occasional lifting or movement of materials
  • Adherence to rigorous safety protocols and ergonomic standards

We continuously invest in our facilities and technologies to ensure they support your well-being, productivity, and growth. If you require reasonable accommodation, we are committed to working with you to ensure an inclusive and accessible experience.
Why This Role Matters
This role is an essential driver of manufacturing excellence-helping the organization improve productivity, reduce variability, enhance safety, and accelerate innovation. By advancing both physics- and data-based modeling capabilities, the Process Modeling Engineer plays a key part in the company's digital transformation and long-term competitivenes
Benefits that Empower You
  • Competitive salary with performance-based bonus plans
  • 401(k) match + Age-Weighted Defined Contribution
  • Comprehensive medical, dental & vision coverage
  • Health Savings Account (HSA)
  • Paid holidays, vacation, and parental leave
  • Flexible work environment
  • Learning and development opportunities
  • Career and professional growth
  • Inclusive culture and vibrant community engagement
    Learn more at benefits.lubrizol.com!

Lubrizol: Imagined for Life. Enabled by Science. Delivered by You.
For nearly 100 years, The Lubrizol Corporation, a Berkshire Hathaway company, has been at the forefront of innovation to enhance everyday life, advance mobility, and make the modern world work better. Our specialty chemistry solutions-from engine oils, performance coatings, and skincare to medical devices and plumbing systems -are powered by the expertise, passion, and commitment of people like you.
We tackle the world's toughest challenges with science-based solutions, deeply understanding our customers to deliver innovative chemistry and differentiated value. Our inclusive culture, dedication to safety, and incredible global talent drive our success. Our solutions meet the evolving needs of the modern world-brought to life by science and, most importantly, delivered by you.
Whether you're in the lab, on the production floor, or in the office, you'll be part of a team around the world that empowers you to think boldly, drive results, and contribute to solutions that shape a better, more sustainable future.
We win because of you. Let's build the future together.
#LI-EF2

What Lubrizol employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lubrizol logo

About Lubrizol

Sourced by ZipRecruiter

The Lubrizol Corporation, a Berkshire Hathaway company, is committed to enabling a sustainable future. Our unmatched science unlocks immense possibilities at the molecular level, driving sustainable and measurable results to help the world Move Cleaner, Create Smarter and Live Better. Our solutions are used by people every day, improving billions of lives around the world.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Wickliffe, OH, US

Year founded

1928

Social media