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Phd Cfd Computational Engineer Jobs in Ohio (NOW HIRING)

Are you a Physicist/Engineer who enjoys working at the intersection of numerical methods, high ... M-Star is modern computational fluid dynamics (CFD) software that provides first-principles ...

Project Engineer - Infrastructure The Project Engineer - Infrastructure plays a key role in ... Familiarity with CFD (Computational Fluid Dynamics) and FEA (Finite Element Analysis) tools and ...

... FEA), Computational Fluid Dynamics (CFD) and Sound Acquisition Software packages. Key ... Managing engineering work and priorities of the project team to align with milestones and stretch ...

... FEA), Computational Fluid Dynamics (CFD) and Sound Acquisition Software packages. Key ... Managing engineering work and priorities of the project team to align with milestones and stretch ...

Sr Mechanical Engineer

Dayton, OH · Hybrid

$101K - $134K/yr

Master's or PhD in a related field. * Experience applying and interpreting Geometric Dimensioning ... analysis (FEA), Computational Fluid Dynamics (CFD) and Thermal Analysis * Background in the ...

Sr Mechanical Engineer

Dayton, OH · On-site

$101K - $134K/yr

Master's or PhD in a related field. * Experience applying and interpreting Geometric Dimensioning ... analysis (FEA), Computational Fluid Dynamics (CFD) and Thermal Analysis * Background in the ...

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Phd Cfd Computational Engineer information

What is a PhD CFD computational engineer?

A PhD CFD Computational Engineer is an expert who holds a doctoral degree and specializes in Computational Fluid Dynamics (CFD). They use advanced mathematics, physics, and computer simulations to analyze fluid flows and related physical phenomena. These engineers develop and apply CFD models to solve complex engineering problems in industries such as aerospace, automotive, and energy. Their work often involves research, code development, and optimization of fluid systems to improve performance and efficiency.

What are typical collaboration opportunities for a PhD CFD computational engineer within a multidisciplinary team?

As a PhD CFD Computational Engineer, you frequently collaborate with mechanical engineers, software developers, and experimental scientists to ensure simulation models accurately reflect real-world scenarios. You may work closely with design teams to optimize product performance based on CFD results, and with IT specialists to implement high-performance computing solutions. Effective communication and teamwork are vital, as your input often influences design choices, testing procedures, and project timelines.

What are the key skills and qualifications needed to thrive as a PhD CFD computational engineer, and why are they important?

To thrive as a PhD CFD Computational Engineer, you need deep expertise in fluid dynamics, numerical methods, and advanced programming, typically backed by a doctoral degree in engineering or a related field. Familiarity with CFD software (such as ANSYS Fluent, OpenFOAM), high-performance computing environments, and coding languages like C++ or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable you to develop accurate simulations, interpret complex data, and collaborate effectively on multidisciplinary engineering projects.

What is the difference between Phd Cfd Computational Engineer vs Mechanical Engineer?

AspectPhd Cfd Computational EngineerMechanical Engineer
Required CredentialsPhD in Mechanical Engineering, Aerospace, or related field; CFD certificationsBachelor's or Master's in Mechanical Engineering; some roles may require certifications
Work EnvironmentResearch labs, simulation centers, aerospace or automotive industriesDesign offices, manufacturing plants, R&D departments
Industry UsageSpecialized CFD modeling, simulation, and analysis for fluid dynamics problemsDesign, analysis, and testing of mechanical systems, including fluid systems

The main difference is that Phd Cfd Computational Engineers focus on advanced fluid dynamics simulations and research, often requiring a PhD and specialized CFD expertise. Mechanical Engineers have a broader scope, including design and manufacturing, with less emphasis on specialized CFD work. Both roles are vital in industries like aerospace, automotive, and energy, but they differ in their focus and level of specialization.

What are popular job titles related to Phd Cfd Computational Engineer jobs in Ohio?

For Phd Cfd Computational Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Phd Cfd Computational Engineer jobs in Ohio look for?

The top searched job categories for Phd Cfd Computational Engineer jobs in Ohio are:

What cities in Ohio are hiring for Phd Cfd Computational Engineer jobs?

Cities in Ohio with the most Phd Cfd Computational Engineer job openings:

Infographic showing various Phd Cfd Computational Engineer job openings in Ohio as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 81% In-person, 4% Hybrid, and 15% Remote job distribution.

Advanced Engineer R & D: CFD Modeling & Simulation

Owens Corning

Granville, OH • On-site

Full-time

Re-posted 2 days ago


Owens Corning rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

174th of 544 rated manufacturers


Job description

Owens Corning is seeking an Advanced CFD Modeling Engineer with deep experience applying computational fluid dynamics, heat transfer, turbulence, multiphase flow, combustion, particle transport, and transport phenomena to solve complex industrial and manufacturing challenges. Proven ability to translate physics-based simulation into practical engineering decisions that improve process performance, accelerate innovation, reduce testing cycles, de-risk capital projects, and create measurable business value.

Recognized for modeling capability through standardized workflows, validated modeling methods, automation, external technical partnerships, and digital engineering practices. Effective cross-functional partner across R&D, operations, engineering, capital delivery, and business teams, with a strong track record of influencing technical direction and enabling model-based decision making.

Technical Expertise 

Champion Safety and Owens Corning Values

  • Demonstrate an uncompromising commitment to safety.
  • Ensure appropriate use of data, models, and engineering recommendations.
  • Foster a culture of: Caring, Curious, Collaborative, Committed
  • Model inclusive leadership and strong technical stewardship.

Computational Fluid Dynamics and Physics-Based Modeling

  • Develop and apply high-fidelity CFD models for fluid flow, heat transfer, turbulence, multiphase systems, combustion, mixing, particle transport, and material processing.
  • Use simulation to evaluate process design, operating windows, scale-up risk, manufacturing performance, and product/process innovation opportunities.
  • Translate model outputs into clear engineering recommendations for technical and business stakeholders.
  • Build validated modeling approaches by connecting simulation results with experimental, lab, pilot, and manufacturing data.
  • Apply digital engineering methods to reduce physical testing, shorten development cycles, and improve decision confidence.
  • Demonstrate familiarity with structural modeling concepts and the ability to connect CFD insights with structural, thermal-mechanical, or materials performance considerations where appropriate.
  • Use Simulation Data Management (SDM) tools and practices to organize simulation data, capture new modeling concepts, preserve learnings, and improve accessibility of validated methods across teams.
  • Implement AI, machine learning, surrogate modeling, and automation concepts to improve modeling productivity and accessibility.

Professional Experience Highlights

  • Lead CFD and computational modeling efforts supporting new product development, process innovation, manufacturing troubleshooting, capital project design, and customer-facing technical challenges.
  • Partner with cross-functional teams to identify high-value modeling opportunities and prioritize simulation work based on business impact, technical risk, and urgency.
  • Create reusable modeling workflows, templates, validation practices, and automation approaches to improve modeling speed, quality, and scalability.
  • Mentor engineers and scientists in CFD fundamentals, simulation methodology, model validation, and interpretation of results.
  • Contribute to advanced modeling roadmaps, digital transformation initiatives, and enterprise adoption of simulation-first engineering practices.

External Technical Ecosystem and Capability Building

  • Establish and manage technical partnerships with universities, national laboratories, software vendors, engineering consultants, research institutes, and global contractor resources.
  • Define modeling scopes of work, technical deliverables, quality expectations, and validation standards for external simulation partners.
  • Evaluate emerging computational technologies and identified opportunities to strengthen enterprise modeling capability.
  • Leverage external expertise to accelerate innovation, expand CFD capacity, and access specialized computational methods.

Education and Qualifications

  • Advanced degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, Applied Physics, or related engineering discipline.
  • 10+ years of experience applying CFD and computational modeling to industrial engineering, product development, manufacturing, or process technology challenges.
  • Deep technical foundation in fluid mechanics, heat transfer, turbulence modeling, numerical methods, multiphase flow, combustion, particle transport, and transport phenomena.
  • Demonstrated success leading technically complex modeling projects with measurable business impact.
  • Strong ability to communicate complex simulation insights to technical experts, operations teams, business leaders, and cross-functional stakeholders.

Technical Skills

  • CFD Platforms: ANSYS Fluent, ANSYS CFX, STAR-CCM+, COMSOL, OpenFOAM
  • Programming and Automation: Python, MATLAB, workflow automation, scripting, model templating
  • Methods: Turbulence modeling, conjugate heat transfer, multiphase flow, combustion, particle tracking, mixing, transport phenomena, scale-up modeling
  • Digital Engineering: Digital twins, surrogate models, machine learning workflows, simulation-data integration, model validation
  • Simulation Data Management: SDM platforms, simulation data organization, model traceability, knowledge capture, reusable workflows, and concept documentation
  • Business Applications: Manufacturing optimization, process troubleshooting, capital project support, innovation acceleration, technical risk reduction

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About Owens Corning  

Owens Corning is a branded building products leader with three complementary market-leading businesses providing roofing, insulation, and doors primarily for residential markets in North America and Europe. The company operates with an integrated go-to-market strategy and a unique set of OC Advantages - including its iconic brand, unparalleled commercial strength, leading technology, and winning cost position - to help customers win and grow in the market. Owens Corning is committed to helping build better and achieve more through winning partnerships, leading performance, and engaging people. Founded in 1938 and headquartered in Toledo, Ohio, Owens Corning is listed on the New York Stock Exchange (NYSE: OC). For more information, visit www.owenscorning.com. 

Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.


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About OWENS CORNING

Sourced by ZipRecruiter

Owens Corning (OC) develops, manufactures and markets insulation, roofing, and fiberglass composites. Global in scope and human in scale, the company's market-leading businesses use their deep expertise in materials, manufacturing and building science to develop products and systems that save energy and improve comfort in commercial and residential buildings. Through its glass reinforcements business, the company makes thousands of products lighter, stronger and more durable. Ultimately, Owens Corning people and products make the world a better place. Based in Toledo, Ohio, Owens Corning posted 2017 sales of $6.4 billion and employs 19,000 people in 37 countries. It has been a Fortune 500® company for 64 consecutive years. For more information, please visit www.owenscorning.com. A career at Owens Corning offers the ability to enhance your expertise and achieve your personal and professional aspirations. Through it all, we'll empower you with an environment that encourages open communication and big ideas, competitive pay for your performance, comprehensive benefits, and more opportunities to make your impact.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Toledo, OH, US

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