Computational Fluid Dynamics Research Engineer

Ford; Dearborn (MI); Hybrid; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a Computational Fluid Dynamics Research Engineer to join their innovative Research and Advanced Engineering team. In this hybrid role, you will leverage your expertise in CFD to tackle complex challenges in automotive manufacturing processes, focusing on multiphase flow and fluid-structure interactions. You will collaborate with various departments, driving forward-thinking solutions that enhance vehicle performance and sustainability. This position offers a unique opportunity to contribute to groundbreaking research while enjoying a supportive work environment that values your professional growth and well-being.

Benefits

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days

Paid parental leave

Vehicle discount program

Paid time off for community service

Generous paid holidays

Option to purchase additional vacation time

Qualifications

• Experience with open source or commercial CFD simulation environments.
• Strong background in fluid mechanics and transport phenomena.
• Experience with advanced computational topics such as GPU computing.

Responsibilities

• Develop and use computational tools to simulate automotive manufacturing processes.
• Document research via internal reports and external publications.
• Grow a network of collaboration inside and outside of Ford.

Skills

Computational Fluid Dynamics (CFD)

Fluid Mechanics

Programming (Python, Matlab, Java, C++)

Multiphase Flow Modeling

Fluid-Structure Interaction Modeling

Communication Skills

Interpersonal Skills

Education

PhD in Chemical, Mechanical or Aerospace Engineering

M.S. in Chemical, Mechanical or Aerospace Engineering

Tools

Star-CCM+

Comsol

OpenFOAM

ANSA

Hypermesh

ADAMS

Amesim

Job description

Computational Fluid Dynamics Research Engineer

Dearborn, MI, United States (Hybrid)

Trending

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Ford’s Research and Advanced Engineering team explores new vehicle and societal innovations that require some level of invention before they can be applied to our products and services. The team is building on a history of Ford innovation, including our invention of the three-way catalytic converter to modernize vehicle emissions controls in the 1970s and the world’s first rear inflatable seat belts in 2010.

The Materials, Processing, Structures and Safety Laboratory in Ford’s Research and Advanced Engineering organization is seeking an employee to work in the Simulation group in the Coatings and Surfaces Research team. The team’s focus is on fundamentally understanding coatings and surfaces that exist or are created in the manufacturing of automobiles. The research in this group is multidisciplinary and has both experimental and simulation components. For our current opening, we are looking for someone with strong simulation skills in the area of Computational Fluid Dynamics (CFD) with an emphasis on multiphase flow modeling and fluid-structure interaction modeling. This exciting research role requires, a multi-functional relationship with several organizations within Ford, which include Ford Model e, Ford Blue, Ford Ion Park, Basic Design, and Manufacturing.

Responsibilities

What you’ll do…
•Develop and use state-of-the-art computational tools to simulate different automotive manufacturing processes.
•Develop a robust, multidisciplinary research portfolio across several areas of interest with both short-term and long-term deliverables.
•Develop advanced simulation methods to solve relevant Company issues with a specific emphasis on battery manufacturing and automotive paint processes.
•Rapidly solve time-critical Company issues using novel experimental approaches.
•Grow a network of collaboration inside of Ford and outside of Ford with universities, government laboratories and suppliers.
•Document research via internal reports and external publications and presentations.

Qualifications

You'll have…

•PhD in Chemical, Mechanical or Aerospace Engineering with thesis work in the area of Computational Fluid Dynamics, or a M.S. in Chemical, Mechanical, or Aerospace Engineering plus 5+ years of industrial experience using CFD.
•4+ years of experience with open source or commercial CFD simulation environments.

Even better, you may have…
•Deep understanding and knowledge in fluid mechanics, multiphase flow, transport phenomena and heat transfer.
•Strong backgrounds in Computational Fluid Dynamics (CFD), and experience with advanced topics, such as free surface flows, fluid-structure interactions, multi-body dynamics, conjugate heat transfer modeling, reduced order modeling, optimization.
•Proficient in Computational Fluid Dynamics and familiar with common commercial software, preferably Star-CCM+, Comsol or OpenFOAM, with an emphasis on multiphase flow and fluid structure interactions.
•Experience with coating processes, such as spray and atomization, dip coating, slot die coating.
•Programming skills in Python, Matlab, Java or C++.
•Experience with handling complex geometries and mesh preparation using ANSA, Hypermesh or similar software.
•Experience with multibody dynamics simulation software such as ADAMS or similar.
•Experience with 3D-1D modeling and 1D simulation software such as Amesim.
•Experience with advanced computational topics such as GPU computing, AI/ML.
•Outstanding digital literacy as well as written and oral communication skills.
•Great teammate with strong interpersonal skills.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

Job Info

• Job Identification 44249
• Job Category Research and Advance Engineering
• Posting Date 04/29/2025, 01:04 AM
• Degree Level Master's Degree or equivalent
• Job Schedule Full time
• Locations RESRL 2101 Village Rd, Dearborn, MI, 48124, US (Hybrid)