In Modeling Jobs in Rochester Hills, MI (NOW HIRING)

Battery Management/Modeling Research Engineer 
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position... 
This position involves battery modeling research to support the development of current and future hybrid, plug-in hybrid, and battery electric vehicles within Ford Research and Advanced Engineering. The mission is to perform research to develop new battery-related features, enhance existing features, and enable lower cost, more reliable, and longer-lived batteries.

You'll Have 

• Master's Degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering or related degree
• 5+ years of experience with battery applications of physics-based modeling, including heat/mass transport, fluid mechanics, solid mechanics, or chemical/mechanical degradation processes, or electrochemistry applications (Thesis and/or Dissertation allowed)
• Demonstrated experience developing computational strategies for solving large systems of coupled ordinary differential equations or partial differential equations

Even Better, you may have...

• PhD in Electrical Engineering, Mechanical Engineering, Chemical Engineering or related degree

• 8+ years of experience with electrochemical battery modeling (Thesis and/or Dissertation allowed)

• Strong knowledge in one and good awareness of the other of the following competencies

  • Batteries and battery systems, especially of the type used in vehicle Electrification 
  • Control Systems, especially state estimation theory
  • Battery modeling and simulation tools, especially Matlab/Simulink/Stateflow, PyBaMM, COMSOL, and Abaqus
  • Post-processing battery cell and pack data using scripting, AVL Concerto, or similar programs
• Ability to anticipate research needs and initiate research projects 
• Knowledge of model based development processes desired 
• Awareness of automotive battery management hardware desired
• Excellent data analysis and interpretation capabilities 
• Excellent teamwork and communication skills 
• Self-motivated with the ability to manage multiple tasks 

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
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. 

This position is a salary grades 6-8  and ranges from $85,400-$192,900.

             
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:

Visa sponsorship is not 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. 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.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

    #LI-JS1 

What You'll do 

• Develop advanced battery plant models for use in battery design and vehicle system simulations
• Identify and prescribe test methods, including novel measurements beyond traditional battery cycling, that can deliver data needed to calibrate or validate multi-physics battery models
• Post-process battery cell and pack test data to evaluate performance or life characteristics
• Define and lead research projects related to battery management & modeling
• Implement multi-physics battery models using various modeling tools
• Map battery hardware architectures and interfaces between battery cells and the battery controller to simulation environments, while balancing complexity with execution speed
• Create reduced order models from highly complex physical plant models for battery management system implementation
• Transfer developed technologies to product teams