Materials Informatics Scientist
About the role
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.
Responsibilities
- Leads activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design.
- Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.
- Analyze and interpret materials data using advanced statistical and data mining techniques.
- Propose, execute and defend project concepts; collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups.
- Identify and prioritize promising materials candidates for further investigation and development.
- Work with a diverse range of experts, both internal and external, for developing high business impact solutions.
- Communicate results through reports and presentations to diverse audiences (both technical and non-technical), including C level.
- Collaborate effectively with materials scientists, engineers, and other researchers across geographic locations.
- Collaborates with industry or academic specialists to apply the results of research and develop new techniques.
Qualifications
- 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.
Benefits
- 401K Match: Save for retirement with the company's help.
- Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
- Health Insurance: Rely on comprehensive services whenever you need it.
- Vacation: We offer time off to refresh and recharge.
- Personal Development: We offer a variety of trainings to ensure you can develop in your career.
Plymouth, MI · Howell, MI · Hybrid Work · Chem-Trend Limited Partnership