Thermal Systems Researcher - General Motors (GM)

Job Description

Advanced (PhD) degree in science/engineering disciplines.

New PhD grad up to 1-3 years work experience. Individual Contributor. Generate innovative ideas, suggest new project areas, and establish technical plans. 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.

Establish relationships and develop partners 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.

Execute technical and special assignments.

Assist lab management in identifying mega-trends in technology and business strategies in the automotive sector.

Contribute responses to threats and opportunities.

Represent GM effectively to the external technical and business communities.

Participate in technical discussions and reviews as an expert in your field.

Grow and diversify personal skills and competency base.

In-depth knowledge of the state-of-the-art research in specialized areas.

Consistently demonstrate innovative thinking and strong partnership.

Strong verbal and written communication skills

New Phd Graduate, 1-3 years experience, individual contributor

• Technical Expertise:
• Strong foundation in heat transfer, fluid dynamics, refrigeration systems, and related engineering domains.
• Knowledge of vehicle thermal loops, propulsion and vehicle thermal systems, and heat exchanger design principles.
• Knowledge of propulsion components (e.g. batteries, engines, motors), their thermal

requirements

and cooling techniques.

• Hands on experience with thermal and fluid measurement instrumentation and data acquisition.
• Understanding of vehicle aerodynamics and its interaction with thermal systems.
• Experience with design optimization workflows using CFD and CAE methods.
• Proficient in CFD tools, such as StarCCM+, PowerFlow, Fluent.
• Proficiency with 1D system modeling tools such as GT‑ISE, and familiarity with model reduction techniques.
• Working knowledge of AI/ML frameworks and methods, including regression, classification, deep learning, use of digital twins, reinforcement learning.
• Strong background in physics‑based modeling of continuous and discrete systems using first‑principles approaches.
• Experience with multi‑disciplinary optimization (model‑based and data‑driven).
• Professional Skills: