Materials Informatics Scientist

• Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
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Howell, MI

Hybrid Work

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.

• PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field.
• Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia.
• Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior.
• Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations.
• Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
• Ability to work independently and as part of a team.
• Strong communication and stakeholder engagement skills.
• International outlook and willingness to travel as a plus.
• Excellent analytical, problem/situation analysis, and critical thinking skills
• Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment.

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.