Simulation Research Engineer

Ford • Dearborn, MI

21h

About The Position

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. 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 Tuition assistance 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.

Requirements

• PhD in Chemical, Mechanical or Aerospace Engineering with thesis work in Computational Science (e.g. Computation Fluid Dynamics), or a M.S. in Chemical, Mechanical, or Aerospace Engineering plus 5+ years of industrial experience using Computational Science.
• Strong background in modeling and simulation with deep understanding and knowledge in fluid mechanics, thermodynamics, and heat transfer.
• Strong background in applied mathematics and in-depth knowledge in numerical algorithms for partial differential equation (PDE) systems.
• Hands-on experience in advanced techniques in parameter estimation, uncertainty quantification (UQ), machine learning (ML), and/or reduced-order modeling (ROM).
• In-depth knowledge and experience in one or more of the following areas: coating and drying processes, porous medium transport, capillary flows, colloidal suspensions.
• Proficiency in Python, Julia, or C++.
• Experience with industry-standard CFD software such as COMSOL, OpenFOAM, STAR-CCM+, or similar.
• Experience of coating and drying processes within a manufacturing context.
• Deep understanding of rheology and behavior of non-Newtonian or complex fluids.
• Experience developing coupled multi-physics models for complex systems, such as fluid-structure interaction or transport-chemical coupling.
• Experience with computational model validation through experimental measurements.
• Outstanding digital literacy as well as written and oral communication skills.
• Verification of employment eligibility will be required at the time of hire.

Responsibilities

• 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.

Benefits

• 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
• Tuition assistance
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees