Senior Researcher

General Motors Corporation; Warren (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors Corporation in Warren, Michigan seeks a Senior Researcher to lead the generation and evaluation of innovative technologies in automotive exhaust aftertreatment. You will design experiments, collect data, and validate new ideas while building comprehensive research reports and records of invention.

You will stay current with industry advances, mentor junior staff, and coordinate with internal teams and external partners to advance enterprise goals.

Qualifications

• PhD in Chemical Engineering or related field required.
• Two years of post-degree research experience required.
• Experience with automotive exhaust aftertreatment preferred.

Responsibilities

• Lead generation and evaluation of new technologies and concepts.
• Conduct experiments to collect data and validate research ideas.
• Write timely, high-quality research reports and records of invention.
• Develop reduced-order and multi-scale models for catalytic systems.
• Collaborate with internal teams and external partners to meet project goals.
• Mentor junior technical staff and Innovation Teams.

Skills

Advanced catalytic-converter modeling

ROM development

Catalyst characterization techniques

Numerical simulation

Education

PhD in Chemical Engineering

Master's in Chemical Engineering

Job description

## Senior ResearcherApply: Hybrid: Warren, Michigan, United States of America: Full time: Posted Today: JR-202622218**Job Description****DUTIES:** Lead the generation and evaluation of new innovative technologies and concepts where appropriate. Conduct research and/or experiments to collect required data and validate research ideas in developing. Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results in your area of research. Maintain up-to-date knowledge of industry and technical developments to grow core technical skills and competencies. Integrate internally and externally developed knowledge in new ways to enhance the enterprise. Provide insightful analysis of technology trends and identify competency and skill needs. Manage relationships and grow partnership with divisional staffs to meet project objectives. Observe and ensure support personnel proper safety practices and ensure personal protective equipment is in working order. Communicate laboratory hazards appropriately. Define and plan technical programs and identify innovative strategies. Lead in identifying mega-trends in technology and business strategies in the automotive sector. Contribute responses to threats and opportunities. Develop a global network with key universities, government labs, and industrial labs to access the world’s best technology. Lead technical discussions and reviews as an expert in your field. And communicate results and progress across the organization. Lead and execute technical programs and coordinate with the various functions of the Innovation Process as required. Grow and diversify personal skills and competency base. Act as a mentor to junior technical staff and to Innovation Teams. In-depth knowledge of the state-of-the-art research in specialized areas. Consistently demonstrate strategic thinking and strong collaboration. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.**REQUIREMENTS**: PhD in Chemical Engineering, or related field of study and two (2) years of experience as a Researcher or related occupation. OR Master's degree in Chemical Engineering, or related field of study and five (5) years of experience as a Researcher or related occupation. Two (2) years of experience with the following: Advanced catalytic-converter modeling, including development of 0D and 1D transient models capturing non-isothermal diffusion, convection, and heterogeneous reaction processes in emission-control systems; Numerical simulation of coupled transport–reaction systems, including multi-step surface chemistry, mass/heat transfer, and reactor transients in automotive aftertreatment devices; Development of reduced-order models (ROMs) for exhaust manifolds and multiphase catalytic reactors using CSTR networks, convolution integrals, and residence-time-distribution (RTD) methods; modeling and optimization of three-way catalysts (TWC), including prediction of hydrogen, CO, HC, and NOx breakthrough for HEGO switching and closed-loop control strategies; Experimental characterization of catalyst performance using light-off tests, CO-TPR, OSC measurements, and temperature-programmed methods for validating kinetic and thermodynamic models; Integration of numerical models with physics-based parameter identification frameworks to reduce precious-metal loading and improve emission-control performance; and Development of multi-scale analysis tools combining reactor-scale simulations with catalyst micro-kinetic behaviors to predict transient conversion efficiency under realistic driving cycles.