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Cchem-Trend Limited Partnership, headquartered in Michigan, seeks a Materials Informatics Scientist to drive generative AI and physics-informed ML for discovery and design of advanced materials and processes in support of sustainable mobility applications.
The role requires a PhD or equivalent and 3+ years in computational materials science, with strong programming skills in Python/Julia/C/C++, and experience with ML tools and cloud platforms. Travel is a plus.
place Plymouth calendar_today 02.09.2026 business Chem-Trend Limited Partnership
Chem-Trend, a company of the Freudenberg Group, is a global leader in the development, manufacture, and marketing of specialized release agents, purging compounds, paper impregnation chemicals, and other process chemical specialties and additives, with manufacturing and R & D operations in North and South America, Europe, India, and Asia that are supported by its headquarters in Michigan, USA. Chem-Trend has a singular focus of providing innovative solutions for the die casting, polyurethane, rubber, composites, tire, thermoplastic, wood composite, and paper impregnation industries.
Serve as a subject matter expert in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design. Responsible to develop advanced data-driven and physics-based models and interface the two to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.
We focus on providing an inclusive environment and recognize our diversity contributes to our success.
Rely on comprehensive services whenever you need it.
We offer time off to refresh and recharge.
We offer a variety of trainings to ensure you can develop in your career.
The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.