Research Engineer - Emissions Simulation & AI

Lincoln Motor Company; Dearborn (MI); Hybrid; USD 100,000 - 193,000; Full time

Benefits offered by this job

Immediate medical, dental, vision and药

Flexible family care days and parental

Family building benefits including IVF

Vehicle discount program

Tuition assistance

Paid time off for community service

Paid holidays and vacation options

Paid time off and additional vacation

Job summary

Ford Motor Company is seeking a research-focused engineer to define next-generation simulation architectures for hybridized and electrified emissions systems. You will prototype models for hybrid gas/diesel controls, electric DPFs, and electrified catalysts, collaborating with engine, combustion, and controls teams.

On a 3–5 year horizon, explore Agentic AI integration, co-simulation, and model integration across tools.

Qualifications

• Master's degree or PhD in a relevant engineering field.
• 3+ years of engine, emissions, or aftertreatment simulation experience.
• Experience developing or integrating physics-based models.

Responsibilities

• Research and prototype simulation architectures for hybridized emissions control systems.
• Develop models for electrified aftertreatment components (electric DPFs, heated catalysts).
• Explore co-simulation and model integration across tools and teams.
• Build proof-of-concept integration frameworks and demonstrate feasibility.

Skills

Engine simulation

Emissions modeling

Python programming

MATLAB/Simulink

C/C++

Technical communication

Education

Master's degree in Mechanical / Chemical / Automotive / Controls Engineering

PhD in Mechanical / Chemical / Automotive Engineering (preferred)

Tools

GT-Power

WAVE-RT

FMI/FMU

In-house tools

Simulink

Job description

Ford Motor Company is seeking a research-focused engineer to define next-generation simulation architectures for hybridized and electrified emissions systems. You will prototype models for hybrid gas/diesel controls, electric DPFs, and electrified catalysts, collaborating with engine, combustion, and controls teams.

On a 3–5 year horizon, explore Agentic AI integration, co-simulation, and model integration across tools.